Anant Madabhushi

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Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data

George Lee, Anant Madabhushi, 2010, PRIB.

EM-based segmentation-driven color standardization of digitized histopathology

Anant Madabhushi, Ajay Basavanhally, 2013, Medical Imaging.

Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

John R. Gilbertson, Anant Madabhushi, Jason Hipp, 2012, Analytical cellular pathology.

WERITAS: weighted ensemble of regional image textures for ASM segmentation

Anant Madabhushi, Robert Toth, Scott Doyle, 2009, Medical Imaging.

Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings

Dean C. Barratt, Anant Madabhushi, Jason A. Dowling, 2011, Prostate Cancer Imaging.

Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications

Anant Madabhushi, B. Nicolas Bloch, Tao Wan, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer

Prateek Prasanna, Cheng Lu, Anant Madabhushi, 2018, MICCAI.

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Angel Cruz-Roa, Anant Madabhushi, Ajay Basavanhally, 2018, PloS one.

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images

Cheng Lu, Anant Madabhushi, Eduardo Romero, 2018, Medical Imaging.

Generalized scale-based image filtering

Jayaram K. Udupa, Anant Madabhushi, Andre D. A. Souza, 2005, SPIE Medical Imaging.

Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation

Anant Madabhushi, Jacob Antunes, Kaustav Bera, 2019, Medical Imaging.

Generalized scale: theory, algorithms, and application to image inhomogeneity correction

Jayaram K. Udupa, Anant Madabhushi, Andre D. A. Souza, 2004, SPIE Medical Imaging.

Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2019, Journal of medical imaging.

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation

Anant Madabhushi, Robert Toth, Mark Rosen, 2011, Medical Image Anal..

Digital imaging in pathology: whole-slide imaging and beyond.

Andrew Evans, Anant Madabhushi, Michael Feldman, 2013, Annual review of pathology.

A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation

Andrew Janowczyk, Anant Madabhushi, Jun Xu, 2010, Medical Imaging.

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Florian Jung, Christos Davatzikos, Dean C. Barratt, 2014, Medical Image Anal..

Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2010, MICCAI.

Quick Annotator: an open‐source digital pathology based rapid image annotation tool

Yu Zhou, Anant Madabhushi, USA, 2021, The journal of pathology. Clinical research.

A prostate MRI atlas of biochemical failures following cancer treatment

Anant Madabhushi, Ashutosh Tewari, John Kurhanewicz, 2014, Medical Imaging.

Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE)

Anant Madabhushi, Jeffrey E. Eben, Nathaniel Braman, 2019, MICCAI.

Optimal feature combination for automated segmentation of prostatic adenocarcinoma from high resolution MRI

Dimitris N. Metaxas, Anant Madabhushi, Michael Feldman, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net

Anant Madabhushi, Li Liang, Bo Yao, 2019, ECDP.

Multi-modality registration via multi-scale textural and spectral embedding representations

Lin Li, Anant Madabhushi, Satish Viswanath, 2016, SPIE Medical Imaging.

Special Section Guest Editorial: Digital Pathology

Anant Madabhushi, Metin N Gurcan, John E Tomaszewski, 2017, Journal of medical imaging.

Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology

Anant Madabhushi, Scott Doyle, Akshay Sridhar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2009, Medical physics.

Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions

Dimitris N. Metaxas, Anant Madabhushi, A. Madabhushi, 2003, IEEE Trans. Medical Imaging.

Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes

Anant Madabhushi, James Monaco, Philipp Raess, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery

Anant Madabhushi, Mark Rosen, Satish Viswanath, 2008, SPIE Medical Imaging.

An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery

Anant Madabhushi, Sahirzeeshan Ali, A. Madabhushi, 2012, IEEE Transactions on Medical Imaging.

STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI

Anant Madabhushi, Jacob Antunes, Pallavi Tiwari, 2019, MICCAI.

Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Supervised multi-view canonical correlation analysis: fused multimodal prediction of disease diagnosis and prognosis

George Lee, Anant Madabhushi, John E. Tomaszewski, 2014, Medical Imaging.

Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI

Anant Madabhushi, Robert Toth, Mark Rosen, 2009, Medical Imaging.

Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI

Anant Madabhushi, B. Nicolas Bloch, Robert E. Lenkinski, 2013, Medical Imaging.

Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging

Anant Madabhushi, Guo-Qing Wei, Jian Zhong Qian, 2002, SPIE Medical Imaging.

A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI

Dimitris N. Metaxas, Anant Madabhushi, Michael D. Feldman, 2003, MICCAI.

Generalized scale: Theory, algorithms, and applications in image analysis

Anant Madabhushi, A. Madabhushi, 2004 .

Automated gleason grading on prostate biopsy slides by statistical representations of homology profile

Anant Madabhushi, Kazuaki Nakane, Xiangxue Wang, 2020, Comput. Methods Programs Biomed..

Statistical shape model for manifold regularization: Gleason grading of prostate histology

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2013, Comput. Vis. Image Underst..

Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI

Anant Madabhushi, Mark Rosen, Jun Xu, 2011, Medical Imaging.

Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images

Anant Madabhushi, Kaustav Bera, Shayan Monabbati, 2020, Medical Imaging: Digital Pathology.

Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management

Anant Madabhushi, Pallavi Tiwari, Shabbar Danish, 2014, Medical Imaging.

Class-specific weighting for Markov random field estimation: Application to medical image segmentation

Anant Madabhushi, James Monaco, A. Madabhushi, 2012, Medical Image Anal..

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings

Prateek Prasanna, Cheng Lu, Anant Madabhushi, 2019, Medical Imaging.

Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways

Prateek Prasanna, Anant Madabhushi, Vinay Varadan, 2019, Medical Imaging.

Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation

Anant Madabhushi, Satish Viswanath, Mirabela Rusu, 2017, Scientific Reports.

Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology

Anant Madabhushi, Sahirzeeshan Ali, A. Madabhushi, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

Fabio A. González, Angel Cruz-Roa, Anant Madabhushi, 2014, Medical Imaging.

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification

Anant Madabhushi, Mark Rosen, John L. Nosher, 2011, Journal of Digital Imaging.

Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate

Anant Madabhushi, Pallavi Tiwari, John Kurhanewicz, 2011, Prostate Cancer Imaging.

Advances in the computational and molecular understanding of the prostate cancer cell nucleus

George Lee, Anant Madabhushi, Neil M Carleton, 2018, Journal of cellular biochemistry.

Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images

George Lee, Anant Madabhushi, Patrick Leo, 2016, SPIE Medical Imaging.

Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric

Dean C. Barratt, Anant Madabhushi, B. Nicolas Bloch, 2013, Medical Imaging.

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology

Anant Madabhushi, Ajay Basavanhally, Michael D. Feldman, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases

George Lee, Anant Madabhushi, Pallavi Tiwari, 2017, BMC Medical Imaging.

Segmentation and classification of triple negative breast cancers using DCE-MRI

Mitchell D. Schnall, Hussain Fatakdawala, Anant Madabhushi, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

Gyan Bhanot, Hussain Fatakdawala, Anant Madabhushi, 2010, IEEE Transactions on Biomedical Engineering.

Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading

Anant Madabhushi, Rachel Sparks, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer

Anant Madabhushi, Germán Corredor, Vamsidhar Velcheti, 2019, Medical Imaging.

AUTOMATED GRADING OF PROSTATE CANCER USING ARCHITECTURAL AND TEXTURAL IMAGE FEATURES

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A comparative analysis of sensitivity of convolutional neural networks for histopathology image classification in breast cancer

Fabian Cano, Angel Cruz-Roa, Anant Madabhushi, 2018, Symposium on Medical Information Processing and Analysis.

Front Matter: Volume 9041

Anant Madabhushi, Metin N. Gurcan, 2014, Medical Imaging: Digital Pathology.

Connecting Markov random fields and active contour models: application to gland segmentation and classification

Anant Madabhushi, Jun Xu, James P Monaco, 2017, Journal of medical imaging.

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

Anant Madabhushi, Ajay Basavanhally, Hannah Gilmore, 2017, Scientific Reports.

Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings

Prateek Prasanna, Anant Madabhushi, Nathaniel Braman, 2019, Medical Imaging.

Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule

Anant Madabhushi, Jun Xu, Xiangxue Wang, 2019, ECDP.

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer

Anant Madabhushi, Michael D. Feldman, Mark Rosen, 2011, Comput. Medical Imaging Graph..

An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets

George Lee, Anant Madabhushi, Carlos Rodriguez, 2007, ISBRA.

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures

George Lee, Anant Madabhushi, Michael D. Feldman, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens is predictive of early biochemical recurrence in prostate cancer patients

Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta, 2018, Medical Imaging.

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies

George Lee, Anant Madabhushi, Carlos Rodriguez, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies

Anant Madabhushi, Jason Hipp, James Monaco, 2011, Journal of pathology informatics.

Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI

Anant Madabhushi, Satish Viswanath, Daniel Palumbo, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis

Haibo Wang, Anant Madabhushi, Shoshana Ginsburg, 2014, MICCAI.

Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy

Anant Madabhushi, Pallavi Tiwari, Shabbar Danish, 2013, Medical Imaging.

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.

Anant Madabhushi, Kaustav Bera, Ian Katz, 2020, JCO clinical cancer informatics.

Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images

Jun Xu, Cheng Lu, Anant Madabhushi, 2016, Scientific Reports.

Machine Vision and Machine Learning in Digital Pathology

Anant Madabhushi, John E. Tomaszewski, Michael A. Tangrea, 2014 .

Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient

Haibo Wang, Anant Madabhushi, Andrew J. Gow, 2013, Medical Imaging.

Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI

Anant Madabhushi, Michael D. Feldman, Mark Rosen, 2014, Medical Imaging.

Pattern Recognition in Histopathological Images: An ICPR 2010 Contest

Metin Nafi Gürcan, Nasir M. Rajpoot, Anant Madabhushi, 2010, ICPR Contests.

Applications of machine learning in drug discovery and development

Bin Li, Anant Madabhushi, Dominic Clark, 2019, Nature Reviews Drug Discovery.

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2010, Prostate Cancer Imaging.

An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management.

Yu Zhou, Anne L. Martel, Anant Madabhushi, 2017, Cancer research.

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection

Fabio A. González, Angel Cruz-Roa, Anant Madabhushi, 2014, Medical Imaging.

Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

Anant Madabhushi, Scott Doyle, Akshay Sridhar, 2015, Journal of pathology informatics.

Evaluating feature selection strategies for high dimensional, small sample size datasets

George Lee, Anant Madabhushi, Abhishek Golugula, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments

Andrew Janowczyk, Anant Madabhushi, Michael Feldman, 2016, Scientific Reports.

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis

Jun Xu, Anant Madabhushi, Lei Xiang, 2015, Comput. Medical Imaging Graph..

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology

Andrew Janowczyk, Anant Madabhushi, Ajay Basavanhally, 2017, Comput. Medical Imaging Graph..

Statistical 3D prostate imaging atlas construction via anatomically constrained registration

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2013, Medical Imaging.

Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2011, Medical Imaging.

Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays

Andrew Janowczyk, Anant Madabhushi, Rajendra Singh, 2009, MICCAI.

Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings

Purang Abolmaesumi, Pingkun Yan, Aaron Fenster, 2010, Prostate Cancer Imaging.

Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2008, MICCAI.

Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2011, Medical Imaging.

Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT

Anant Madabhushi, Mahdi Orooji, Mehdi Alilou, 2017, MICCAI.

Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study pdf

Mohammed Benjelloun, Anant Madabhushi, Vinay Varadan, 2020, ArXiv.

Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI

Anant Madabhushi, B. Nicolas Bloch, Satish Viswanath, 2019, Journal of medical imaging.

Image microarrays (IMA): Digital pathology's missing tool

Anant Madabhushi, Jason Hipp, James Monaco, 2011, Journal of pathology informatics.

Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI

Anant Madabhushi, Robert Toth, Rachel Sparks, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images

Andrew Janowczyk, Anant Madabhushi, Scott Doyle, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology

Anant Madabhushi, Sahirzeeshan Ali, A. Madabhushi, 2011, Journal of pathology informatics.

Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer

Anant Madabhushi, Sahirzeeshan Ali, Christhunesa Christudass, 2011, MICCAI.

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2012, IEEE Transactions on Biomedical Engineering.

An active learning based classification strategy for the minority class problem: application to histopathology annotation

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2011, BMC Bioinformatics.

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Shaoting Zhang, Cheng Lu, Anant Madabhushi, 2019, Journal of medical imaging.

Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework

Anant Madabhushi, Michael D. Feldman, John E. Tomaszewski, 2014, Journal of pathology informatics.

Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays

Anant Madabhushi, Sahirzeeshan Ali, Christhunesa Christudass, 2013, Medical Imaging.

Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma

Prateek Prasanna, Anant Madabhushi, Vinay Varadan, 2017, Medical Imaging.

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach

Anant Madabhushi, Mark Rosen, Michael Feldman, 2013, Medical Imaging.

Front Matter: Volume 8676

Anant Madabhushi, Metin N. Gurcan, 2013, Medical Imaging: Digital Pathology.

Decision support system for detection of diabetic retinopathy using smartphones

Prateek Prasanna, Anant Madabhushi, Shubham Jain, 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response

Prateek Prasanna, Anant Madabhushi, Nathaniel Braman, 2018, MICCAI.

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores

Prateek Prasanna, Anant Madabhushi, Germán Corredor, 2020, Medical Imaging: Digital Pathology.

High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts

Andrew Janowczyk, Anant Madabhushi, Rajendra Singh, 2012, IEEE Transactions on Biomedical Engineering.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Gustavo Carneiro, Jaime S. Cardoso, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings

Anant Madabhushi, Pallavi Tiwari, Shabbar F Danish, 2015, Journal of medical imaging.

Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides

Anant Madabhushi, Ajay Basavanhally, Michael D. Feldman, 2013, IEEE Transactions on Biomedical Engineering.

Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets

Anant Madabhushi, Robert Toth, John Gentile, 2013, Comput. Vis. Image Underst..

Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography

Mahdi Orooji, Anant Madabhushi, Vamsidhar Velcheti, 2018, Journal of medical imaging.

Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI

Jianbo Shi, Anant Madabhushi, Michael D. Feldman, 2006, CVAMIA.

Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection

Anant Madabhushi, Mark Rosen, Michael Feldman, 2007, SPIE Medical Imaging.

COLLINARUS: collection of image-derived non-linear attributes for registration using splines

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2009, Medical Imaging.

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer

Haibo Wang, George Lee, Anant Madabhushi, 2015, IEEE Transactions on Medical Imaging.

A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study

Prateek Prasanna, Anant Madabhushi, Kaustav Bera, 2019, Medical Imaging.

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI

Geert J. S. Litjens, Anant Madabhushi, Jelle O. Barentsz, 2014, Medical Imaging.

A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning

Angel Cruz-Roa, Anant Madabhushi, Fabio González, 2015, Symposium on Medical Information Processing and Analysis.

The interplay between intensity standardization and field inhomogeneity correction in MR image processing

Jayaram K. Udupa, Anant Madabhushi, A. Madabhushi, 2003, SPIE Medical Imaging.

Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation

Anant Madabhushi, Robert Toth, B. Nicolas Bloch, 2011, Medical Imaging.

The revolving door for AI and pathologists-docendo discimus?

Anant Madabhushi, Simone L Van Es, A. Madabhushi, 2019, Journal of medical artificial intelligence.

Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results

Anant Madabhushi, Lee Ponsky, Rakesh Shiradkar, 2020, Medical Imaging.

HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments

Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski, 2011, Comput. Medical Imaging Graph..

Evaluating intensity standardization and inhomogeneity correction in magnetic resonance images

Jayaram K. Udupa, Anant Madabhushi, 2002, Proceedings of the IEEE 28th Annual Northeast Bioengineering Conference (IEEE Cat. No.02CH37342).

Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis

Shishir K. Shah, Ki H. Chon, Anant Madabhushi, 2012, IEEE Transactions on Biomedical Engineering.

Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI

Haibo Wang, Anant Madabhushi, Satish Viswanath, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data

Anant Madabhushi, Gaoyu Xiao, 2011, MICCAI.

A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2006, MICCAI.

XML annotations by MF and NS of WSIs from CINJ

Angel Cruz-Roa, Anant Madabhushi, Ajay Basavanhally, 2018 .

Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2014, Medical Imaging.

New methods of MR image intensity standardization via generalized scale.

Jayaram K. Udupa, Anant Madabhushi, A. Madabhushi, 2006 .

Automatic boundary extraction of ultrasonic breast lesions

Dimitris N. Metaxas, Anant Madabhushi, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Multiscale multimodal fusion of histological and MRI volumes for characterization of lung inflammation

Haibo Wang, Anant Madabhushi, Andrew J. Gow, 2013, Medical Imaging.

Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI

Anant Madabhushi, Soumya Ghose, Jhimli Mitra, 2017, MICCAI.

Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI

Mitchell D. Schnall, Anant Madabhushi, Mark Rosen, 2008, SPIE Medical Imaging.

Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis

Anant Madabhushi, Ajay Basavanhally, Scott Doyle, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework

Anant Madabhushi, Robert Toth, Christoph Russ, 2012, Medical Imaging.

Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA)

Anant Madabhushi, Robert Toth, Mark Rosen, 2008, MICCAI.

A COMBINED FEATURE ENSEMBLE BASED MUTUAL INFORMATION SCHEME FOR ROBUST INTER-MODAL, INTER-PROTOCOL IMAGE REGISTRATION

Anant Madabhushi, Michael D. Feldman, Mark Rosen, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI

Anant Madabhushi, Michael D. Feldman, Mark Rosen, 2010, Medical Imaging.

A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations

Anant Madabhushi, B. Nicolas Bloch, Tao Wan, 2013, Medical Imaging.

Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

Anant Madabhushi, Alton B Farris, Catherine P. Jayapandian, 2020, The Journal of pathology.

Using head movement to recognize activity

Jake K. Aggarwal, Anant Madabhushi, J. Aggarwal, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation

Anant Madabhushi, Kaustav Bera, Justin T. Brady, 2019, Medical Imaging.

Abstract PD9-03: A combination of intra- and peri-lesional deep learning classifiers from multiple views enables accurate diagnosis of architectural distortion malignancy with digital breast tomosynthesis

Anant Madabhushi, Donna Plecha, Yijiang Chen, 2020 .

Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation

Anant Madabhushi, Robert Toth, A. Madabhushi, 2012, IEEE Transactions on Medical Imaging.

Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis

Anant Madabhushi, Scott Doyle, 2010, PRIB.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Gustavo Carneiro, João Paulo Papa, Lena Maier-Hein, 2018, DLMIA/ML-CDS@MICCAI.

Image analysis and machine learning in digital pathology: Challenges and opportunities

George Lee, Anant Madabhushi, A. Madabhushi, 2016, Medical Image Anal..

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score

Eric Klein, Anant Madabhushi, Andrei Purysko, 2019, Medical Imaging.

A statistical deformation model based regularizer for registration of histology and MRI

Anant Madabhushi, Timothy Maguire, Srivathsan Koundinyan, 2014, 2014 40th Annual Northeast Bioengineering Conference (NEBEC).

Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies

Yixin Zhong, Cong Wang, Sin Chun Ng, 2006, ICONIP.

Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation

Dean C. Barratt, Anant Madabhushi, B. Nicolas Bloch, 2014, Medical Imaging.

A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models

Anant Madabhushi, Robert Toth, Mark Rosen, 2008, SPIE Medical Imaging.

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models

Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi, 2010, Medical Image Anal..

Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools

Anant Madabhushi, Jerome Cheng, Michael R. Emmert-Buck, 2018, Journal of pathology informatics.

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS

Anant Madabhushi, Pallavi Tiwari, John Kurhanewicz, 2013, Medical Image Anal..

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

Anant Madabhushi, Satish Viswanath, A. Madabhushi, 2012, BMC Bioinformatics.

Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features

Anant Madabhushi, Eduardo Romero, Germán Corredor, 2017, Journal of medical imaging.

Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis

Prateek Prasanna, Anant Madabhushi, Jhimli Mitra, 2017, MICCAI.

Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions

Dimitris N. Metaxas, Anant Madabhushi, A. Madabhushi, 2003, IEEE Transactions on Medical Imaging.

A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders

Anant Madabhushi, B. Nicolas Bloch, Tao Wan, 2014, Neurocomputing.

Evaluation of effects of JPEG2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology

Stefan Lindholm, Anant Madabhushi, Michael D. Feldman, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation

Anant Madabhushi, Jun Xu, James Monaco, 2010, MICCAI.

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

George Lee, Anant Madabhushi, Michael D. Feldman, 2011, BMC Bioinformatics.

Pathology Image Informatics Platform for visualization, analysis and management

Anne L. Martel, Anant Madabhushi, Metin N. Gurcan, 2015 .

Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer

Anant Madabhushi, John Kurhanewicz, Mirabela Rusu, 2014, Medical Imaging.

Segmenting multiple overlapping objects via a hybrid active contour model incorporating shape priors: applications to digital pathology

Anant Madabhushi, Sahirzeeshan Ali, A. Madabhushi, 2011, Medical Imaging.

Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis

George Lee, Anant Madabhushi, Ajay Basavanhally, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2011, Medical Imaging.

Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm

Anant Madabhushi, James Monaco, Jerome Cheng, 2011, Analytical cellular pathology.

Generalized scale: Theory, algorithms, and application to image inhomogeneity correction

Jayaram K. Udupa, Anant Madabhushi, Andre D. A. Souza, 2006, Comput. Vis. Image Underst..

Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology

George Lee, Anant Madabhushi, Ajay Basavanhally, 2013, MICCAI.

Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning

Sung Kim, Anant Madabhushi, Robert Toth, 2011, Medical Imaging.

Multi-attribute combined mutual information (MACMI): An image registration framework for leveraging multiple data channels

Anant Madabhushi, Jonathan Chappelow, A. Madabhushi, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation

Anant Madabhushi, Robert Toth, Shabbar Danish, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation

Angel Cruz-Roa, Anant Madabhushi, Ajay Basavanhally, 2015, Other Conferences.

A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides

Fabio A. González, Angel Cruz-Roa, Anant Madabhushi, 2012, MICCAI.

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI

Anant Madabhushi, Michael D. Feldman, Mark Rosen, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

NIMG-61. USE OF TEXTURAL RADIOMIC MAPS IN A 3D CONVOLUTIONAL NEURAL NETWORK FRAMEWORK CAN AUGMENT GLIOMA LESION SEGMENTATION

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2017 .

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Anant Madabhushi, Jun Xu, Xiaofei Luo, 2016, Neurocomputing.

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Luca Maria Gambardella, Bogdan J. Matuszewski, Max A. Viergever, 2014, Medical Image Anal..

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods

Anant Madabhushi, Ajay Basavanhally, Shridar Ganesan, 2011, Medical Imaging.

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas

Anant Madabhushi, David Ellison, Joseph Galaro, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer

Jianbo Shi, Anant Madabhushi, Michael D. Feldman, 2005, MICCAI.

An integrated framework for analyzing three-dimensional shape differences: Evaluating prostate morphometry

Anant Madabhushi, Robert Toth, Gaoyu Xiao, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers

Anant Madabhushi, Jacob Antunes, Kaustav Bera, 2020, Medical Imaging.

RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer

Anant Madabhushi, Xiangxue Wang, Kaustav Bera, 2018, Medical Imaging.

A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer

Prateek Prasanna, Anant Madabhushi, Amogh Hiremath, 2020, Medical Imaging.

Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess

John R. Gilbertson, Anant Madabhushi, Jason Hipp, 2011, Journal of pathology informatics.

A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology

Anant Madabhushi, Robert Toth, Srivathsan Babu Prabu, 2013, Medical Imaging.

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Fabio A. González, Henning Müller, Manfredo Atzori, 2015, MICCAI.

Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading

Anant Madabhushi, Pallavi Tiwari, John Kurhanewicz, 2011, Prostate Cancer Imaging.

Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma

Anant Madabhushi, Pallavi Tiwari, Ruchika Verma, 2019, Medical Imaging.

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology

Gyan Bhanot, Anant Madabhushi, Ajay Basavanhally, 2010, IEEE Transactions on Biomedical Engineering.

Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with Oncotype DX assay

Anant Madabhushi, Ajay Basavanhally, Jun Xu, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection

Fabio A. González, Angel Cruz-Roa, John Edison Arevalo Ovalle, 2013, MICCAI.

Interplay between intensity standardization and inhomogeneity correction in MR image processing

Jayaram K. Udupa, Anant Madabhushi, A. Madabhushi, 2005, IEEE Transactions on Medical Imaging.

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2012, BMC Bioinformatics.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE: Introduction

Anant Madabhushi, Metin N. Gurcan, 2013 .

A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI

Bryan Traughber, Anant Madabhushi, Robert Toth, 2014, Neurocomputing.

MRQy: An Open-Source Tool for Quality Control of MR Imaging Data

Anant Madabhushi, Ruchika Verma, Jacob Antunes, 2020, ArXiv.

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation

Geert J. S. Litjens, Anant Madabhushi, Henkjan J. Huisman, 2014, Medical Imaging.

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models

Anant Madabhushi, Michael Feldman, John E. Tomaszeweski, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images

Anant Madabhushi, Eduardo Romero, Xiangxue Wang, 2017, Symposium on Medical Information Processing and Analysis.

A high-throughput active contour scheme for segmentation of histopathological imagery

Andrew Janowczyk, Anant Madabhushi, Jun Xu, 2011, Medical Image Anal..

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI

Dimitris N. Metaxas, Anant Madabhushi, Michael D. Feldman, 2005, IEEE Transactions on Medical Imaging.

CADOnc ⓒ: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI

Anant Madabhushi, Robert Toth, Pallavi Tiwari, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Anant Madabhushi, Mark Rosen, B. Nicolas Bloch, 2019, BMC Medical Imaging.

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2016, Scientific Reports.

Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival

Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, 2019, Medical Imaging.

Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2009, MICCAI.

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

Jianzhong Wu, Anant Madabhushi, Qingshan Liu, 2016, IEEE Transactions on Medical Imaging.

RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction

Prateek Prasanna, Anant Madabhushi, Jacob Antunes, 2017, MICCAI.

A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS)

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2007, MICCAI.

Probabilistic pairwise Markov models: application to prostate cancer detection

Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi, 2009, Medical Imaging.

Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

Gyan Bhanot, Hussain Fatakdawala, Anant Madabhushi, 2009, BIBE.

Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data

George Lee, Anant Madabhushi, Pallavi Tiwari, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Generalized ball-scale: theory, algorithms, and application to image inhomogeneity correction

Jayaram K. Udupa, Anant Madabhushi, Andre Souza, 2005, Medical Imaging: Image Processing.

Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer

Anant Madabhushi, Robert Toth, Satish Viswanath, 2013, Medical Imaging.

Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2012, Medical Imaging.

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2016, Scientific Reports.

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology

Anant Madabhushi, Ajay Basavanhally, Michael D. Feldman, 2009, Medical Imaging.

A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2008, SPIE Medical Imaging.

A note on the stability and discriminability of graph-based features for classification problems in digital pathology

Angel Cruz-Roa, Anant Madabhushi, Jun Xu, 2015, Other Conferences.

Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes

Anant Madabhushi, Eduardo Romero, Xiangxue Wang, 2017, Symposium on Medical Information Processing and Analysis.

Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays

Anant Madabhushi, Sahirzeeshan Ali, Christhunesa Christudass, 2015, Comput. Medical Imaging Graph..

Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images

George Lee, Anant Madabhushi, Michael D Feldman, 2016, Journal of medical imaging.

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data

George Lee, Anant Madabhushi, Ajay Basavanhally, 2011, Comput. Medical Imaging Graph..

A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI

Anant Madabhushi, Robert Toth, B. Nicolas Bloch, 2008, MICCAI.

A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology

George Lee, Anant Madabhushi, Michael D. Feldman, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2013, MICCAI.

A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI

Andrew Janowczyk, Anant Madabhushi, Nathaniel Braman, 2018, Medical Imaging.

Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology

Anant Madabhushi, Michael D. Feldman, Scott Doyle, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2020, Frontiers in Computational Neuroscience.

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

Anant Madabhushi, Satish Viswanath, Michael D Feldman, 2014, Journal of medical imaging.

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

Andrew Janowczyk, Anant Madabhushi, A. Madabhushi, 2016, Journal of pathology informatics.

A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2010, Medical Imaging.

Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations

Anant Madabhushi, James Monaco, A. Madabhushi, 2011, IEEE Transactions on Medical Imaging.

Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2016, IEEE Transactions on Medical Imaging.

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2014, MICCAI.

Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data

George Lee, Anant Madabhushi, David Edmundo Romo Bucheli, 2016, PloS one.

Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation

Andrew Janowczyk, Anant Madabhushi, Kaustav Bera, 2020, Medical Imaging: Digital Pathology.

Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images

Andrew Janowczyk, Anant Madabhushi, Eduardo Romero, 2016, Scientific Reports.

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI

Anant Madabhushi, Mark Rosen, B. Nicolas Bloch, 2018, Medical Imaging.

Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI

Anant Madabhushi, B. Nicolas Bloch, Elizabeth Genega, 2011, Medical Imaging.

Explicit shape descriptors: Novel morphologic features for histopathology classification

Anant Madabhushi, Rachel Sparks, A. Madabhushi, 2013, Medical Image Anal..

Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer

Anant Madabhushi, Robert Toth, Satish Viswanath, 2014, Neurocomputing.

The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community

Anant Madabhushi, James Monaco, Jerome Cheng, 2011, Journal of pathology informatics.

Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer

Anant Madabhushi, Mark Rosen, Michael Feldman, 2008, SPIE Medical Imaging.

New methods of MR image intensity standardization via generalized scale

Jayaram K. Udupa, Anant Madabhushi, A. Madabhushi, 2005, SPIE Medical Imaging.

Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer

Andrew Janowczyk, Anant Madabhushi, Adam K. Glaser, 2020, Medical Imaging: Digital Pathology.

Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy

Anant Madabhushi, Mark Rosen, Pallavi Tiwari, 2010, MICCAI.

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Australia, Steven N. Hart, Anant Madabhushi, 2020, Journal of pathology informatics.

Deep Learning Tissue Segmentation in Cardiac Histopathology Images

Andrew Janowczyk, Anant Madabhushi, Michael D. Feldman, 2017, Deep Learning for Medical Image Analysis.

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises pdf

Ronald M. Summers, Jerry L. Prince, Daniel Rueckert, 2020, Proceedings of the IEEE.

Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy

Anant Madabhushi, Germán Corredor, Kaustav Bera, 2020, Medical Imaging: Digital Pathology.

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2019, Medical Imaging.

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

Angel Cruz-Roa, Anant Madabhushi, Ajay Basavanhally, 2014, Journal of medical imaging.

Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis

Anant Madabhushi, Yijiang Chen, Andrew Janowczyk, 2020, JCO clinical cancer informatics.

Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei

Anant Madabhushi, Ulysses J. Balis, D. Lucas, 2012, MICCAI.

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer

George Lee, Anant Madabhushi, Michael D. Feldman, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors

Anant Madabhushi, James Lewis, Sahirzeeshan Ali, 2013, MICCAI.

Image filtering via generalized scale

Jayaram K. Udupa, Anant Madabhushi, Andre D. A. Souza, 2008, Medical Image Anal..

SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach

Anant Madabhushi, Jacob Antunes, Satish E. Viswanath, 2021, MICCAI.

Image analysis in drug discovery

Anant Madabhushi, Jason Hipp, Kaustav Bera, 2021, The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry.

Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers

Can Fahrettin Koyuncu, Andrew Janowczyk, Prateek Prasanna, 2020, Medical Image Anal..

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis

Anant Madabhushi, Kaustav Bera, Amogh Hiremath, 2021, MICCAI.

A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT

Anant Madabhushi, Soumya Ghose, Paul Schoenhagen, 2021, BMC Medical Imaging.

Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study

Prateek Prasanna, Anant Madabhushi, Justis P. Ehlers, 2021, IEEE Transactions on Biomedical Engineering.

Special issue on computational pathology: An overview

Constantino Carlos Reyes-Aldasoro, Anant Madabhushi, A. Madabhushi, 2021, Medical Image Anal..

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma pdf

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2021, IEEE Transactions on Medical Imaging.

Annotation-free 3D segmentation of prostate glands enabled with deep-learning image translation

Anant Madabhushi, Adam K. Glaser, Patrick Leo, 2021 .

Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis

Anant Madabhushi, Xiangxue Wang, Jun Xu, 2020, Medical Image Anal..

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.

Anant Madabhushi, Rohit Bhargava, A. Madabhushi, 2016, Annual review of biomedical engineering.

Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model.

Anant Madabhushi, Andrew J Buckler, Jovanna Danagoulian, 2014, Medical physics.

Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.

Mohammed Benjelloun, Anant Madabhushi, Nathaniel Braman, 2019, Journal of Clinical Oncology.

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Adrian Preda, Evan Fletcher, Charles DeCarli, 2017, Scientific Reports.

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Andrew Janowczyk, Anant Madabhushi, Xiangxue Wang, 2017, Scientific Reports.

Segmentation of nodular medulloblastoma using Random Walker and Hierarchical Normalized Cuts

Anant Madabhushi, Rachel Sparks, Alexander R. Judkins, 2011, 2011 IEEE 37th Annual Northeast Bioengineering Conference (NEBEC).

Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma

Prateek Prasanna, Anant Madabhushi, Vinay Varadan, 2018, Scientific Reports.

Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study

Anant Madabhushi, Michael Feldman, Patrick Leo, 2018, Scientific Reports.

A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores

Anant Madabhushi, B. Nicolas Bloch, Hannah Gilmore, 2016, Scientific Reports.

Deep-learning approaches for Gleason grading of prostate biopsies.

Anant Madabhushi, Michael D Feldman, Patrick Leo, 2020, The Lancet. Oncology.

Histomorphometry of digital pathology: Case study in prostate cancer

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2014 .

MICRORNA EXPRESSION PROFILE IN CLEAR-CELL KIDNEY CANCER

Gabriela Alexe, Gyan Bhanot, Anant Madabhushi, 2008 .

Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings.

Anant Madabhushi, Jacob Antunes, Justin T. Brady, 2018, Academic radiology.

Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model.

Anant Madabhushi, Mirabela Rusu, Thea Golden, 2015, Medical physics.

Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings

Anant Madabhushi, Soumya Ghose, Satish Viswanath, 2018, Journal of magnetic resonance imaging : JMRI.

Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2017, Breast Cancer Research.

Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies

Anant Madabhushi, Satish Viswanath, A. Madabhushi, 2017, Scientific Reports.

NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures

Subha Madhavan, Joel Saltz, Anant Madabhushi, 2014, Translational oncology.

A Class Balanced Active Learning Scheme that Accounts for Minority Class Problems : Applications to Histopathology

Anant Madabhushi, Scott Doyle, Michael Feldman, 2009 .

Predicting neo-adjuvant chemotherapy response from pre-treatment breast MRI using machine learning and HER2 status.

Andrew Janowczyk, Anant Madabhushi, Nathaniel Braman, 2018 .

A Quantitative Histomorphometric Classifier (QuHbIC) Identifies Aggressive Versus Indolent p16-Positive Oropharyngeal Squamous Cell Carcinoma

Anant Madabhushi, Sahirzeeshan Ali, Jingqin Luo, 2014, The American journal of surgical pathology.

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Prateek Prasanna, Anant Madabhushi, Soumya Ghose, 2018, Lung cancer.

A texture-based classifier to discriminate anaplastic from non-anaplastic medulloblastoma

Anant Madabhushi, Satish Viswanath, Alexander R. Judkins, 2011, 2011 IEEE 37th Annual Northeast Bioengineering Conference (NEBEC).

PATHOLOGY INFORMATICS SUMMIT 2018

David E. Breen, William B. Lober, Hamid R. Tizhoosh, 2018, Journal of Pathology Informatics.

Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Anant Madabhushi, Robert Toth, Stephen Hahn, 2012, Medical physics.

Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings.

George Lee, Anant Madabhushi, Sahirzeeshan Ali, 2016, European urology focus.

Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer

Anant Madabhushi, Michael Feldman, John Tomaszewski, 2016, Journal of magnetic resonance imaging : JMRI.

A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue

Andrew Janowczyk, Anant Madabhushi, Michael D Feldman, 2018, PloS one.

A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers

Andrew Janowczyk, Anant Madabhushi, Eduardo Romero, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

Andrew Janowczyk, Anant Madabhushi, Sharat Chandran, 2013, Journal of pathology informatics.

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.

Prateek Prasanna, Anant Madabhushi, Xiangxue Wang, 2020, The Lancet. Digital health.

Prostatome: a combined anatomical and disease based MRI atlas of the prostate.

Anant Madabhushi, B. Nicolas Bloch, Robert E. Lenkinski, 2014, Medical physics.

Towards Improved Cancer Diagnosis and Prognosis Using Analysis of Gene Expression Data and Computer Aided Imaging

Gabriela Alexe, Gyan Bhanot, Anant Madabhushi, 2009, Experimental biology and medicine.

Structural and Functional Modeling of Chronic Lung Inflammation: Loss of Function Mechanisms

Anant Madabhushi, Christopher B. Massa, Andrew J. Gow, 2015 .

Digital pathology and computational image analysis in nephropathology

Stephen M. Hewitt, Anant Madabhushi, Ulysses G. J. Balis, 2020, Nature Reviews Nephrology.

Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study1

Anant Madabhushi, Jacob Antunes, Laia Valls, 2016, Translational oncology.

Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging.

Dean C. Barratt, Anant Madabhushi, B. Nicolas Bloch, 2015, Medical physics.

Novel PCA‐VIP scheme for ranking MRI protocols and identifying computer‐extracted MRI measurements associated with central gland and peripheral zone prostate tumors

Anant Madabhushi, B. Nicolas Bloch, Robert E. Lenkinski, 2015, Journal of magnetic resonance imaging : JMRI.

Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings

Anant Madabhushi, Kaustav Bera, Hannah Gilmore, 2019, Breast Cancer Research.

Detection of Prostate Cancer from Whole-Mount Histology Images Using Markov Random Fields

Purang Abolmaesumi, Parvin Mousavi, Anant Madabhushi, 2008 .

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer

Prateek Prasanna, Anant Madabhushi, B. Nicolas Bloch, 2019, JAMA network open.

Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study

Anant Madabhushi, Rajat Thawani, Mirabela Rusu, 2017, European Radiology.

Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings

Anant Madabhushi, Soumya Ghose, Ivan Jambor, 2018, Journal of magnetic resonance imaging : JMRI.

Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding

Amod Jog, Anant Madabhushi, Sharat Chandran, 2009, BIOSIGNALS.

Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.

Anant Madabhushi, Robert Toth, B. Nicolas Bloch, 2012, Radiology.

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

Anant Madabhushi, Pallavi Tiwari, Michael Feldman, 2018, PloS one.

Advances in computerized image analysis methods on breast ultrasound

Dimitris N. Metaxas, Anant Madabhushi, A. Madabhushi, 2005 .

Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI

Anant Madabhushi, Satish Viswanath, Tarun K Podder, 2016, Radiation Oncology.

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.

Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, 2019, Radiology.

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

Anant Madabhushi, Ajay Basavanhally, Michael Feldman, 2011, Journal of pathology informatics.