Harini Veeraraghavan

发表

Computer vision algorithms for intersection monitoring

Osama Masoud, Nikolaos Papanikolopoulos, Harini Veeraraghavan, 2003, IEEE Trans. Intell. Transp. Syst..

Classifiers for driver activity monitoring

Nikolaos Papanikolopoulos, Harini Veeraraghavan, Nathaniel Bird, 2007 .

Harini Veeraraghavan, Paul R. Schrater, Nathaniel Bird, 2005 .

Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets

Harini Veeraraghavan, Joseph O Deasy, Hyemin Um, 2019, Physics in medicine and biology.

Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy

Harini Veeraraghavan, Joseph O. Deasy, Michael J. Zelefsky, 2019, Physics and imaging in radiation oncology.

Learning to Recognize Video-Based Spatiotemporal Events

Nikolaos Papanikolopoulos, Harini Veeraraghavan, N. Papanikolopoulos, 2009, IEEE Transactions on Intelligent Transportation Systems.

Portable Traffic Data Processor

Nikolaos Papanikolopoulos, Harini Veeraraghavan, 2008 .

Automated Breast Density Measurements From Chest Computed Tomography Scans

Harini Veeraraghavan, Touseef A Qureshi, Janice S Sung, 2019, Journal of Medical Systems.

Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART

Maria L. Gini, Harini Veeraraghavan, Paul E. Rybski, 2008, J. Intell. Robotic Syst..

GBM Volumetry using the 3D Slicer Medical Image Computing Platform

James V. Miller, Christopher Nimsky, Bernd Freisleben, 2013, Scientific Reports.

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

Joseph O. Deasy, Harini Veeraraghavan, Jue Jiang, 2019, IEEE Transactions on Medical Imaging.

Patch-Based Generative Adversarial Neural Network Models for Head and Neck MR-Only Planning.

Harini Veeraraghavan, Joseph O Deasy, Jue Jiang, 2019, Medical physics.

Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning pdf

Harini Veeraraghavan, Peter Klages, Neelam Tyagi, 2019, ArXiv.

No fear: University of Minnesota Robotics Day Camp introduces local youth to hands-on technologies

Maria L. Gini, Nikolaos Papanikolopoulos, Harini Veeraraghavan, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2019, Medical physics.

Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions

Manuela M. Veloso, Harini Veeraraghavan, Roman Vaculín, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

SU-E-J-213: Visualization of Scans and Metrics for Longitudinal Informatics

Harini Veeraraghavan, Joseph O. Deasy, Neelam Tyagi, 2015 .

Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation

Harini Veeraraghavan, Joseph O. Deasy, Jason Hu, 2019, MICCAI.

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation

Harini Veeraraghavan, Joseph O. Deasy, Neelam Tyagi, 2020, IEEE Transactions on Medical Imaging.

Managing Suburban Intersections Through Sensing Final Technical Report

Osama Masoud, Harini Veeraraghavan, Nikolaos Papanikolopoulos, 2001 .

Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation

Harini Veeraraghavan, Chuang Wang, Joseph O Deasy, 2020, Physics in medicine and biology.

SU-E-J-253: The Radiomics Toolbox in the Computational Environment for Radiological Research (CERR)

Harini Veeraraghavan, Joseph O. Deasy, Jung Hun Oh, 2015 .

Multiatlas approach with local registration goodness weighting for MRI‐based electron density mapping of head and neck anatomy†

Harini Veeraraghavan, Joseph O Deasy, Aditya Apte, 2017, Medical physics.

Adaptive geometric templates for feature matching

Nikolaos Papanikolopoulos, Harini Veeraraghavan, Paul R. Schrater, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Library of deep-learning image segmentation and outcomes model-implementations.

Harini Veeraraghavan, Joseph O Deasy, Jung Hun Oh, 2020, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Joseph O. Deasy, Harini Veeraraghavan, Pengpeng Zhang, 2018, MICCAI.

Reliability of tumor segmentation in glioblastoma: impact on the robustness of MRI-radiomic features.

Harini Veeraraghavan, Hyemin Um, Florent Tixier, 2019, Medical physics.

Deterministic sampling-based switching kalman filtering for vehicle tracking

Nikolaos Papanikolopoulos, Harini Veeraraghavan, Paul R. Schrater, 2006, 2006 IEEE Intelligent Transportation Systems Conference.

Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study

Harini Veeraraghavan, Joseph O Deasy, Brittany Z Dashevsky, 2018, Scientific Reports.

Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT pdf

Harini Veeraraghavan, Joseph O. Deasy, Hyemin Um, 2020, ArXiv.

The distance discordance metric---a novel approach to quantifying spatial uncertainties in intra-and inter-patient deformable image registration

Ya Wang, Harini Veeraraghavan, Gregory C Sharp, 2016 .

Teaching Sequential Tasks with Repetition through Demonstration (Short Paper)

Harini Veeraraghavan, Manuela Veloso, M. Veloso, 2008 .

Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search

James V. Miller, Harini Veeraraghavan, 2013, Neuroinformatics.

Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network.

Harini Veeraraghavan, Guang Li, Chuang Wang, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Active learning guided interactions for consistent image segmentation with reduced user interactions

James V. Miller, Harini Veeraraghavan, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning to extract interesting events from outdoor image sequences

Harini Veeraraghavan, Paul R. Schrater, Nikos Papanikolopoulos, 2006 .

MO-A-207B-00: Segmentation & Feature Extraction Techniques.

Harini Veeraraghavan, 2016, Medical physics.

Teaching sequential tasks with repetition through demonstration

Manuela M. Veloso, Harini Veeraraghavan, M. Veloso, 2008, AAMAS.

Learning Dynamic Event Descriptions in Image Sequences

Nikolaos Papanikolopoulos, Harini Veeraraghavan, Paul R. Schrater, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research.

Harini Veeraraghavan, Joseph O Deasy, Jung Hun Oh, 2018, Medical physics.

Managing Suburban Intersections through Sensing

Osama Masoud, Nikolaos Papanikolopoulos, Harini Veeraraghavan, 2002 .

Combining multiple tracking modalities for vehicle tracking at traffic intersections

Nikolaos Papanikolopoulos, Harini Veeraraghavan, N. Papanikolopoulos, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Library of model implementations for sharing deep-learning image segmentation and outcomes models

Harini Veeraraghavan, Joseph O. Deasy, Andrew Jackson, 2019, bioRxiv.

Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation

Harini Veeraraghavan, Jue Jiang, H. Veeraraghavan, 2020, MICCAI.

MinDART: A Multi-Robot Search and Retrieval System

Maria L. Gini, Harini Veeraraghavan, Paul E. Rybski, 2002, AAAI Mobile Robot Competition.

Using Robots to Raise Interest in Technology Among Underrepresented Groups

Maria L. Gini, Nikolaos Papanikolopoulos, Harini Veeraraghavan, 2007, IEEE Robotics & Automation Magazine.

Robust target detection and tracking through integration of motion, color, and geometry

Nikolaos Papanikolopoulos, Harini Veeraraghavan, Paul R. Schrater, 2006, Comput. Vis. Image Underst..

Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection

Joseph O. Deasy, Harini Veeraraghavan, Duc Fehr, 2014, MLMI.

Local block-wise self attention for normal organ segmentation pdf

Harini Veeraraghavan, Hyemin Um, Jue Jiang, 2019, ArXiv.

Real-time tracking for managing suburban intersections

Osama Masoud, Harini Veeraraghavan, Nikolaos Papanikolopoulos, 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT

Joseph O. Deasy, Harini Veeraraghavan, Duc Fehr, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART

Maria Gini, Maria L. Gini, Harini Veeraraghavan, 2004, DARS.

Learning task specific plans through sound and visually interpretable demonstrations

Manuela M. Veloso, Harini Veeraraghavan, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

DETECTING DRIVER FATIGUE THROUGH THE USE OF ADVANCED FACE MONITORING TECHNIQUES

Harini Veeraraghavan, Nikolaos Papanikolopoulos, N. Papanikolopoulos, 2001 .

Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation pdf

Joseph O. Deasy, Harini Veeraraghavan, Jue Jiang, 2021, ArXiv.

Nested-block self-attention for robust radiotherapy planning segmentation pdf

Joseph O. Deasy, Harini Veeraraghavan, Laura Cervino, 2021, ArXiv.

One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs

Harini Veeraraghavan, Jue Jiang, H. Veeraraghavan, 2022, IEEE Transactions on Medical Imaging.

Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Joseph O. Deasy, Harini Veeraraghavan, Jung Hun Oh, 2021, Journal of medical imaging.

Deep learning from small labeled datasets applied to medical image analysis

Harini Veeraraghavan, Jue Jiang, 2021, State of the Art in Neural Networks and their Applications.

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation

Joseph O. Deasy, Harini Veeraraghavan, Ishita Chen, 2021, Medical physics.

Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation

Harini Veeraraghavan, Joseph O Deasy, Andreas Rimner, 2021, IEEE Transactions on Medical Imaging.

A multiple-image-based method to evaluate the performance of deformable image registration in the pelvis

Harini Veeraraghavan, Maria Thor, Gregory Sharp, 2016, Physics in medicine and biology.

Heterogeneous Tumor-Immune Microenvironments among Differentially Growing Metastases in an Ovarian Cancer Patient

Harini Veeraraghavan, Evis Sala, Martin L. Miller, 2017, Cell.

Breast cancer subtype intertumor heterogeneity: MRI‐based features predict results of a genomic assay

Joseph O. Deasy, Harini Veeraraghavan, Jung Hun Oh, 2015, Journal of magnetic resonance imaging : JMRI.

Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis

Harini Veeraraghavan, Evis Sala, Diana Feier, 2017, European Radiology.

MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors.

Harini Veeraraghavan, Hyemin Um, Florent Tixier, 2019, Neuro-oncology.

Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer

Harini Veeraraghavan, Evis Sala, Stephanie Nougaret, 2018, Abdominal Radiology.

Breast cancer molecular subtype classifier that incorporates MRI features

Harini Veeraraghavan, J. Deasy, H. Veeraraghavan, 2016, Journal of magnetic resonance imaging : JMRI.

Computed Tomography Measures of Inter-site tumor Heterogeneity for Classifying Outcomes in High-Grade Serous Ovarian Carcinoma: a Retrospective Study

Joseph O. Deasy, Harini Veeraraghavan, Eralda Mema, 2019, bioRxiv.

Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI.

Harini Veeraraghavan, Joseph O Deasy, Richard K G Do, 2015, Medical physics.

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Paul Aljabar, Harini Veeraraghavan, Andre Dekker, 2018, Medical physics.

A rectal cancer organoid platform to study individual responses to chemoradiation

Jessica A Lavery, Iva Petkovska, Harini Veeraraghavan, 2019, Nature Medicine.

A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome

Harini Veeraraghavan, Evis Sala, Douglas A Levine, 2017, European Radiology.

MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy.

Iva Petkovska, Harini Veeraraghavan, Evis Sala, 2018, Radiology.