M. Rusu

发表

A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing

C. Sander, N. Socci, M. Palkovits, 2007, Cell.

Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas

Rebecca F. Halperin, Sean R. Dinn, Winnie S. Liang, 2019, PloS one.

Evolutionary bidirectional expansion for the tracing of alpha helices in cryo-electron microscopy reconstructions.

Mirabela Rusu, Willy Wriggers, W. Wriggers, 2012, Journal of structural biology.

Modeling Techniques for the High-Resolution Interpretation of Cryo-Electron Microscopy Reconstructions

M. Rusu, 2011 .

PD60-05 AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES

Richard E. Fan, A. Ng, Pranav Rajpurkar, 2019, Journal of Urology.

Tumor cell phenotype and heterogeneity differences in IDH1 mutant vs wild-type gliomas

Rebecca F. Halperin, Sean R. Dinn, Winnie S. Liang, 2019, bioRxiv.

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning pdf

Marc Modat, Yuankai Huo, Ingerid Reinertsen, 2021, ArXiv.

Computational imaging reveals shape differences between normal and malignant prostates on MRI

A. Madabhushi, D. Moses, V. Gulani, 2017, Scientific Reports.

Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning

Richard E. Fan, G. Sonn, C. Kunder, 2022, Cancers.

Integrating zonal priors and pathomic MRI biomarkers for improved aggressive prostate cancer detection on MRI

Richard E. Fan, Jeffrey B. Wang, G. Sonn, 2022, Medical Imaging.

Registration of pre-surgical MRI and whole-mount histopathology images in prostate cancer patients with radical prostatectomy via RAPSODI.

Richard E. Fan, Jeffrey B. Wang, G. Sonn, 2019 .

Deep Learning-based Pseudo-Mass Spectrometry Imaging Analysis for Precision Medicine

M. Snyder, M. Rusu, Liang Liang, 2022, bioRxiv.

An Assembly Model of Rift Valley Fever Virus

Richard Bonneau, S. Watowich, W. Wriggers, 2012, Front. Microbio..

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Richard E. Fan, G. Sonn, M. Rusu, 2022, Medical Image Anal..

ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation

M. Rusu, Zhaoya Pan, A. Maier, 2022, ArXiv.

A review of artificial intelligence in prostate cancer detection on imaging

Richard E. Fan, J. Brooks, G. Sonn, 2022, Therapeutic advances in urology.

Bridging the gap between prostate radiology and pathology through machine learning

Richard E. Fan, Han Lin Aung, David S. Lim, 2021, Medical physics.

J. Brooks, G. Sonn, M. Rusu, 2022, ArXiv.

The Association of Tissue Change and Treatment Success During High-intensity Focused Ultrasound Focal Therapy for Prostate Cancer

Richard E. Fan, G. Sonn, M. Rusu, 2022, European urology focus.

Developing a denoising filter for electron microscopy and tomography data in the cloud

W. Wriggers, M. Rusu, M. Szczepański, 2012, Biophysical Reviews.

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Philip H. S. Torr, G. Sonn, M. Rusu, 2022, MICCAI.

PD56-03 EXTERNAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE ALGORITHM FOR PROSTATE CANCER GLEASON GRADING AND TUMOR QUANTIFICATION

Richard E. Fan, G. Sonn, Chia‐Sui Kao, 2021 .

Tumor cell phenotype and heterogeneity differences in IDH1 mutant vs wild-type gliomas

Sean R. Dinn, M. Prados, S. Nelson, 2019, bioRxiv.

A prostate MRI atlas of biochemical failures following cancer treatment

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

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.

Biomolecular pleiomorphism probed by spatial interpolation of coarse models

Mirabela Rusu, Stefan Birmanns, Willy Wriggers, 2008, Bioinform..

ProGNet: prostate gland segmentation on MRI with deep learning

Wei Shao, Richard E. Fan, Mirabela Rusu, 2021, Medical Imaging.

Developing a denoising filter for electron microscopy and tomography data in the cloud

Zbigniew Starosolski, Mirabela Rusu, Willy Wriggers, 2012, Biophysical Reviews.

3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction

Christian Kunder, Wei Shao, Richard E. Fan, 2021, Medical Image Anal..

Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODI

Wei Shao, Richard E. Fan, Mirabela Rusu, 2020, Medical physics.

Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging

Richard E. Fan, Jeffrey B. Wang, J. Brooks, 2021, Medical physics.

Using Sculptor and Situs for simultaneous assembly of atomic components into low-resolution shapes.

Stefan Birmanns, Willy Wriggers, Mirabela Rusu, 2011, Journal of structural biology.

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.

Evaluation of post-ablation mpMRI as a predictor of residual prostate cancer after focal high intensity focused ultrasound (HIFU) ablation

Richard E. Fan, G. Sonn, M. Rusu, 2022, Urologic oncology.

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

Albert C. S. Chung, Adrian V. Dalca, Tony C. W. Mok, 2021, IEEE Transactions on Medical Imaging.

Correlation of 68Ga-RM2 PET with Postsurgery Histopathology Findings in Patients with Newly Diagnosed Intermediate- or High-Risk Prostate Cancer

Richard E. Fan, G. Davidzon, A. Iagaru, 2022, The Journal of Nuclear Medicine.

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Machine Learning for Biomedical Imaging.

Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework

Richard E. Fan, Jeffrey B. Wang, J. Brooks, 2021, Medical Image Anal..

CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis

Indrani Bhattacharya, Wei Shao, James D. Brooks, 2020, MICCAI.

Weakly Supervised Registration of Prostate MRI and Histopathology Images

Wei Shao, Richard E. Fan, Mirabela Rusu, 2021, MICCAI.

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate

Wei Shao, James D. Brooks, Richard E. Fan, 2020, Medical Image Anal..

Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy

Richard E. Fan, G. Sonn, M. Rusu, 2021, The Journal of urology.

Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration

Richard E. Fan, Mirabela Rusu, Geoffrey A. Sonn, 2021, Medical Imaging.

Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy

Christian Kunder, Robert West, Richard E. Fan, 2019, Medical Imaging: Image Processing.

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

A. Madabhushi, M. Rusu, S. Pahwa, 2017, Scientific Reports.

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.

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.

A deep learning-based algorithm for 2-D cell segmentation in microscopy images

Mirabela Rusu, Yousef Al-Kofahi, Alla Zaltsman, 2018, BMC Bioinformatics.

Automated tracing of filaments in 3D electron tomography reconstructions using Sculptor and Situs.

Zbigniew Starosolski, Willy Wriggers, Mirabela Rusu, 2012, Journal of structural biology.

A deep learning-based algorithm for 2-D cell segmentation in microscopy images

Will A. Marshall, M. Rusu, Y. Al-Kofahi, 2018, BMC Bioinformatics.

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.

Evolutionary tabu search strategies for the simultaneous registration of multiple atomic structures in cryo-EM reconstructions.

Stefan Birmanns, Mirabela Rusu, M. Rusu, 2010, Journal of structural biology.

Image quality assessment for machine learning tasks using meta-reinforcement learning

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Medical Image Anal..

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.

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.

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Richard E. Fan, G. Sonn, M. Rusu, 2022, Medical Image Analysis.

An Application of Generative Adversarial Networks for Super Resolution Medical Imaging

Mirabela Rusu, Rewa Sood, Karthik Choutagunta, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks

Mirabela Rusu, Rewa Sood, M. Rusu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts

Gary E. Christensen, Joseph M. Reinhardt, John E. Bayouth, 2021, Medical Image Anal..

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

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

Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence

Richard E. Fan, G. Sonn, M. Rusu, 2023, European Urology Open Science.

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

Richard E. Fan, Shaheer U. Saeed, G. Sonn, 2022, Machine Learning for Biomedical Imaging.

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.

Learning image quality assessment by reinforcing task amenable data selection

Dean C. Barratt, Yipeng Hu, Qianye Yang, 2021, IPMI.

VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making

M. Sriram Iyengar, Jack W. Smith, John R. Svirbely, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging

Richard E. Fan, G. Sonn, M. Rusu, 2023, 2312.05334.

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

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

Adaptable image quality assessment using meta-reinforcement learning of task amenability

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2021, ASMUS@MICCAI.

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

M. Rusu, Negar Golestani, Aihui Wang, 2024, MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI.