Harini Veeraraghavan

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 29

Top Topics

Tumor Segmentation

Magnetic Resonance Images

Top Venues

IEEE Trans. Medical Imaging

Publications

Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR (2024)
Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR (2024)
Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah Thompson, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images. CoRR (2024)
Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging 43 (3) (2024)
Jue Jiang, Harini Veeraraghavan
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. CoRR (2023)
Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI (2023)
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). MICCAI (4) (2022)
Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). CoRR (2022)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging 41 (5) (2022)
Jue Jiang, Harini Veeraraghavan
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs. CoRR (2022)
Jue Jiang, Harini Veeraraghavan
One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs. IEEE Trans. Medical Imaging 41 (8) (2022)
Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT. CoRR (2022)
Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy
Nested-block self-attention for robust radiotherapy planning segmentation. CoRR (2021)
Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR (2021)
Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR (2021)
Jue Jiang, Harini Veeraraghavan
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. MICCAI (2) (2020)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. CoRR (2020)
Jue Jiang, Harini Veeraraghavan
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. CoRR (2020)
Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. CoRR (2020)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joe Deasy, Harini Veeraraghavan, Neelam Tyagi
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. CoRR (2019)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. CoRR (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. CoRR (2019)
Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan
Local block-wise self attention for normal organ segmentation. CoRR (2019)
Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. MICCAI (6) (2019)
Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Trans. Medical Imaging 38 (1) (2019)
Touseef Ahmad Qureshi, Harini Veeraraghavan, Janice S. Sung, Jennifer B. Kaplan, Jessica Flynn, Emily S. Tonorezos, Suzanne L. Wolden, Elizabeth A. Morris, Kevin C. Oeffinger, Malcolm C. Pike, Chaya S. Moskowitz
Automated Breast Density Measurements From Chest Computed Tomography Scans. J. Medical Syst. 43 (8) (2019)
Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) (2018)
Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy, Harini Veeraraghavan
Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT. ISBI (2016)
Duc Fehr, Harini Veeraraghavan, Andreas Wibmer, Tatsuo Gondo, Kazuhiro Matsumoto, Herbert Alberto Vargas, Evis Sala, Hedvig Hricak, Joseph O. Deasy
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proc. Natl. Acad. Sci. USA 112 (46) (2015)
Harini Veeraraghavan, James V. Miller
Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search. Neuroinformatics 12 (2) (2014)
Harini Veeraraghavan, Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. MLMI (2014)
Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis
GBM Volumetry using the 3D Slicer Medical Image Computing Platform CoRR (2013)
Harini Veeraraghavan, James V. Miller
Active learning guided interactions for consistent image segmentation with reduced user interactions. ISBI (2011)
Harini Veeraraghavan, Roman Vaculín, Manuela M. Veloso
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions. Web Intelligence (2010)
Harini Veeraraghavan, Nikolaos P. Papanikolopoulos
Learning to Recognize Video-Based Spatiotemporal Events. IEEE Trans. Intell. Transp. Syst. 10 (4) (2009)
Harini Veeraraghavan, Manuela M. Veloso
Learning task specific plans through sound and visually interpretable demonstrations. IROS (2008)
Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan, Monica Anderson, Maria L. Gini
Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART. J. Intell. Robotic Syst. 52 (3-4) (2008)
Harini Veeraraghavan, Manuela M. Veloso
Teaching sequential tasks with repetition through demonstration. AAMAS (3) (2008)
Harini Veeraraghavan, Nikolaos Papanikolopoulos, Paul R. Schrater
Learning Dynamic Event Descriptions in Image Sequences. CVPR (2007)
Kelly R. Cannon, Monica A. LaPoint, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan, Nikolaos Papanikolopoulos, Maria L. Gini
Using Robots to Raise Interest in Technology Among Underrepresented Groups. IEEE Robotics Autom. Mag. 14 (2) (2007)
Harini Veeraraghavan, Nikos Papanikolopoulos, Paul R. Schrater
Deterministic sampling-based switching kalman filtering for vehicle tracking. ITSC (2006)
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P. Papanikolopoulos
Robust target detection and tracking through integration of motion, color, and geometry. Comput. Vis. Image Underst. 103 (2) (2006)
Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos
Adaptive Geometric Templates for Feature Matching. ICRA (2006)
Kelly R. Cannon, Monica Anderson, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan, Nikolaos Papanikolopoulos, Maria L. Gini
No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies. ICRA (2006)
Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos
Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. ISIC (2005)
Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan, Monica A. LaPoint, Maria L. Gini
Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART. DARS (2004)
Harini Veeraraghavan, Nikolaos Papanikolopoulos
Combining Multiple Tracking Modalities for Vehicle Tracking at Traffic Intersections. ICRA (2004)
Harini Veeraraghavan, Osama Masoud, Nikolaos Papanikolopoulos
Computer vision algorithms for intersection monitoring. IEEE Trans. Intell. Transp. Syst. 4 (2) (2003)
Harini Veeraraghavan, Osama Masoud, Nikolaos Papanikolopoulos
Real-time tracking for managing suburban intersections. DSP (2002)
Paul E. Rybski, Amy C. Larson, Heather Metcalf, Devon Skyllingstad, Harini Veeraraghavan, Maria L. Gini
MinDART: A Multi-Robot Search and Retrieval System. AAAI Mobile Robot Competition (2002)