Harini Veeraraghavan

62 papers A* 4A 1Journal 40Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging. CoRR Leonard Nürnberg, Dennis Bontempi, Suraj Pai, Curtis Lisle, Steven D. Pieper, Ron Kikinis, Sil van de Leemput, Rahul Soni, Gowtham Murugesan, Cosmin Ciausu, Miriam Groeneveld, Felix J. Dorfner, Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan, Joeran S. Bosma, Keno K. Bressem, Raymond H. Mak, Andrey Fedorov, Hugo J. W. L. Aerts
2025	—	`conf`	Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities. ISBI Jue Jiang, Harini Veeraraghavan
2025	J	`jnl`	Dual Cross-Attention Siamese Transformer for Rectal Tumor Regrowth Assessment in Watch-and-Wait Endoscopy. CoRR Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar, Christina Lee, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
2025	J	`jnl`	Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion. CoRR Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R. Sabuncu, Neelam Tyagi, Harini Veeraraghavan
2025	J	`jnl`	Pretrained hybrid transformer for generalizable cardiac substructures segmentation from contrast and non-contrast CTs in lung and breast cancers. CoRR Aneesh Rangnekar, Nikhil Mankuzhy, Jonas Willmann, Chloe Min Seo Choi, Abraham J. Wu, Maria Thor, Andreas Rimner, Harini Veeraraghavan
2025	J	`jnl`	Random forest-based out-of-distribution detection for robust lung cancer segmentation. CoRR Aneesh Rangnekar, Harini Veeraraghavan
2025	J	`jnl`	Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy. CoRR Sudharsan Madhavan, Chengcheng Gui, Lando Bosma, Josiah Simeth, Jue Jiang, Nicolas Cote, Nima Hassan Rezaeian, Himanshu Nagar, Victoria Brennan, Neelam Tyagi, Harini Veeraraghavan
2025	J	`jnl`	Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation. CoRR Aneesh Rangnekar, Harini Veeraraghavan
2025	J	`jnl`	brat: Aligned Multi-View Embeddings for Brain MRI Analysis. CoRR Maxime Kayser, Maksim Gridnev, Wanting Wang, Max Bain, Aneesh Rangnekar, Avijit Chatterjee, Aleksandr Petrov, Harini Veeraraghavan, Nathaniel C. Swinburne
2024	J	`jnl`	Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images. CoRR Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah Thompson, Julio Garcia-Aguilar, Joshua Jesse Smith, Harini Veeraraghavan
2024	J	`jnl`	Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan
2024	—	`conf`	Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation. MIDL Jue Jiang, Harini Veeraraghavan
2024	J	`jnl`	Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan
2024	J	`jnl`	Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. CoRR Jue Jiang, Chloe Min Seo Choi, Maria Thor, Joseph O. Deasy, Harini Veeraraghavan
2024	J	`jnl`	Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging Jiening Zhu, Harini Veeraraghavan, Jue Jiang, Jung Hun Oh, Larry Norton, Joseph O. Deasy, Allen R. Tannenbaum
2023	—	`conf`	3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
2023	J	`jnl`	Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. CoRR Jue Jiang, Harini Veeraraghavan
2022	J	`jnl`	One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs. IEEE Trans. Medical Imaging Jue Jiang, Harini Veeraraghavan
2022	J	`jnl`	One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs. CoRR Jue Jiang, Harini Veeraraghavan
2022	J	`jnl`	Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT. CoRR Jue Jiang, Jun Hong, Kathryn Tringale, Marsha Reyngold, Christopher Crane, Neelam Tyagi, Harini Veeraraghavan
2022	—	`conf`	Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). MICCAI (4) Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
2022	J	`jnl`	Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). CoRR Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan
2022	J	`jnl`	Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2021	J	`jnl`	Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. CoRR Jue Jiang, Sadegh Riyahi Alam, Ishita Chen, Perry Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2021	J	`jnl`	Nested-block self-attention for robust radiotherapy planning segmentation. CoRR Harini Veeraraghavan, Jue Jiang, Elguindi Sharif, Sean L. Berry, Ifeanyirochukwu Onochie, Aditya P. Apte, Laura Cervino, Joseph O. Deasy
2021	J	`jnl`	Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2020	J	`jnl`	Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. CoRR Hyemin Um, Jue Jiang, Maria Thor, Andreas Rimner, Leo Luo, Joseph O. Deasy, Harini Veeraraghavan
2020	J	`jnl`	PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
2020	J	`jnl`	PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation. CoRR Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Andreas Rimner, Nancy Lee, Joseph O. Deasy, Sean Berry, Harini Veeraraghavan
2020	—	`conf`	Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. MICCAI (2) Jue Jiang, Harini Veeraraghavan
2020	J	`jnl`	Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. CoRR Jue Jiang, Harini Veeraraghavan
2019	J	`jnl`	Automated Breast Density Measurements From Chest Computed Tomography Scans. J. Medical Syst. 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
2019	J	`jnl`	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 Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. Deasy, Harini Veeraraghavan, Neelam Tyagi
2019	J	`jnl`	Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. CoRR Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan
2019	—	`conf`	Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. MICCAI (6) Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
2019	J	`jnl`	Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. CoRR Jue Jiang, Jason Hu, Neelam Tyagi, Andreas Rimner, Sean L. Berry, Joseph O. Deasy, Harini Veeraraghavan
2019	J	`jnl`	Local block-wise self attention for normal organ segmentation. CoRR Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan
2019	J	`jnl`	Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Trans. Medical Imaging Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan
2018	—	`conf`	Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) Jue Jiang, Yu-Chi Hu, Neelam Tyagi, Pengpeng Zhang, Andreas Rimner, Gig S. Mageras, Joseph O. Deasy, Harini Veeraraghavan
2016	—	`conf`	Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT. ISBI Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy, Harini Veeraraghavan
2015	J	`jnl`	Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proc. Natl. Acad. Sci. USA Duc Fehr, Harini Veeraraghavan, Andreas Wibmer, Tatsuo Gondo, Kazuhiro Matsumoto, Herbert Alberto Vargas, Evis Sala, Hedvig Hricak, Joseph O. Deasy
2014	—	`conf`	Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. MLMI Harini Veeraraghavan, Duc Fehr, Charles Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy
2014	J	`jnl`	Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search. Neuroinformatics Harini Veeraraghavan, James V. Miller
2013	J	`jnl`	GBM Volumetry using the 3D Slicer Medical Image Computing Platform CoRR Jan Egger, Tina Kapur, Andriy Fedorov, Steve Pieper, James V. Miller, Harini Veeraraghavan, Bernd Freisleben, Alexandra J. Golby, Christopher Nimsky, Ron Kikinis
2011	—	`conf`	Active learning guided interactions for consistent image segmentation with reduced user interactions. ISBI Harini Veeraraghavan, James V. Miller
2010	—	`conf`	Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions. Web Intelligence Harini Veeraraghavan, Roman Vaculín, Manuela M. Veloso
2009	J	`jnl`	Learning to Recognize Video-Based Spatiotemporal Events. IEEE Trans. Intell. Transp. Syst. Harini Veeraraghavan, Nikolaos P. Papanikolopoulos
2008	A	`conf`	Learning task specific plans through sound and visually interpretable demonstrations. IROS Harini Veeraraghavan, Manuela M. Veloso
2008	J	`jnl`	Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART. J. Intell. Robotic Syst. Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan, Monica Anderson, Maria L. Gini
2008	—	`conf`	Teaching sequential tasks with repetition through demonstration. AAMAS (3) Harini Veeraraghavan, Manuela M. Veloso
2007	A*	`conf`	Learning Dynamic Event Descriptions in Image Sequences. CVPR Harini Veeraraghavan, Nikolaos Papanikolopoulos, Paul R. Schrater
2007	J	`jnl`	Using Robots to Raise Interest in Technology Among Underrepresented Groups. IEEE Robotics Autom. Mag. Kelly R. Cannon, Monica A. LaPoint, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan, Nikolaos Papanikolopoulos, Maria L. Gini
2006	A*	`conf`	Adaptive Geometric Templates for Feature Matching. ICRA Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos
2006	—	`conf`	Deterministic sampling-based switching kalman filtering for vehicle tracking. ITSC Harini Veeraraghavan, Nikos Papanikolopoulos, Paul R. Schrater
2006	A*	`conf`	No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies. ICRA Kelly R. Cannon, Monica Anderson, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan, Nikolaos Papanikolopoulos, Maria L. Gini
2006	J	`jnl`	Robust target detection and tracking through integration of motion, color, and geometry. Comput. Vis. Image Underst. Harini Veeraraghavan, Paul R. Schrater, Nikolaos P. Papanikolopoulos
2005	—	`conf`	Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. ISIC Harini Veeraraghavan, Paul R. Schrater, Nikolaos Papanikolopoulos
2004	A*	`conf`	Combining Multiple Tracking Modalities for Vehicle Tracking at Traffic Intersections. ICRA Harini Veeraraghavan, Nikolaos Papanikolopoulos
2004	—	`conf`	Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART. DARS Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan, Monica A. LaPoint, Maria L. Gini
2003	J	`jnl`	Computer vision algorithms for intersection monitoring. IEEE Trans. Intell. Transp. Syst. Harini Veeraraghavan, Osama Masoud, Nikolaos Papanikolopoulos
2002	—	`conf`	MinDART: A Multi-Robot Search and Retrieval System. AAAI Mobile Robot Competition Paul E. Rybski, Amy C. Larson, Heather Metcalf, Devon Skyllingstad, Harini Veeraraghavan, Maria L. Gini
2002	—	`conf`	Real-time tracking for managing suburban intersections. DSP Harini Veeraraghavan, Osama Masoud, Nikolaos Papanikolopoulos