Real-time tracking for managing suburban intersections. - Harini Veeraraghavan; Osama Masoud; Nikolaos Papanikolopoulos (DSP, 2002)

MinDART: A Multi-Robot Search and Retrieval System. - Paul E. Rybski; Amy C. Larson; Heather Metcalf; Devon Skyllingstad; Harini Veeraraghavan; Maria L. Gini (AAAI Mobile Robot Competition, 2002)

Computer vision algorithms for intersection monitoring. - Harini Veeraraghavan; Osama Masoud; Nikolaos Papanikolopoulos (IEEE Trans. Intell. Transp. Syst., 2003)

Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART. - Paul E. Rybski; Amy C. Larson; Harini Veeraraghavan; Monica A. LaPoint; Maria L. Gini (DARS, 2004)

Combining Multiple Tracking Modalities for Vehicle Tracking at Traffic Intersections. - Harini Veeraraghavan; Nikolaos Papanikolopoulos (ICRA, 2004)

Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos Papanikolopoulos (ISIC, 2005)

No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies. - Kelly R. Cannon; Monica Anderson 001; Nate Bird; Katherine A. Panciera; Harini Veeraraghavan; Nikolaos Papanikolopoulos; Maria L. Gini (ICRA, 2006)

Adaptive Geometric Templates for Feature Matching. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos Papanikolopoulos (ICRA, 2006)

Deterministic sampling-based switching kalman filtering for vehicle tracking. - Harini Veeraraghavan; Nikos Papanikolopoulos; Paul R. Schrater (ITSC, 2006)

Robust target detection and tracking through integration of motion, color, and geometry. - Harini Veeraraghavan; Paul R. Schrater; Nikolaos P. Papanikolopoulos (Comput. Vis. Image Underst., 2006)

Learning Dynamic Event Descriptions in Image Sequences. - Harini Veeraraghavan; Nikolaos Papanikolopoulos; Paul R. Schrater (CVPR, 2007)

Using Robots to Raise Interest in Technology Among Underrepresented Groups. - Kelly R. Cannon; Monica A. LaPoint; Nate Bird; Katherine A. Panciera; Harini Veeraraghavan; Nikolaos Papanikolopoulos; Maria L. Gini (IEEE Robotics Autom. Mag., 2007)

Teaching sequential tasks with repetition through demonstration. - Harini Veeraraghavan; Manuela M. Veloso (AAMAS (3), 2008)

Learning task specific plans through sound and visually interpretable demonstrations. - Harini Veeraraghavan; Manuela M. Veloso (IROS, 2008)

Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART. - Paul E. Rybski; Amy C. Larson; Harini Veeraraghavan; Monica Anderson 001; Maria L. Gini (J. Intell. Robotic Syst., 2008)

Learning to Recognize Video-Based Spatiotemporal Events. - Harini Veeraraghavan; Nikolaos P. Papanikolopoulos (IEEE Trans. Intell. Transp. Syst., 2009)

Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions. - Harini Veeraraghavan; Roman Vaculín; Manuela M. Veloso (Web Intelligence, 2010)

Active learning guided interactions for consistent image segmentation with reduced user interactions. - Harini Veeraraghavan; James V. Miller (ISBI, 2011)

GBM Volumetry using the 3D Slicer Medical Image Computing Platform - Jan Egger; Tina Kapur; Andriy Fedorov; Steve Pieper 001; James V. Miller; Harini Veeraraghavan; Bernd Freisleben; Alexandra J. Golby; Christopher Nimsky; Ron Kikinis (CoRR, 2013)

Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. - Harini Veeraraghavan; Duc Fehr; Charles Ross Schmidtlein; Sinchun Hwang; Joseph O. Deasy (MLMI, 2014)

Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search. - Harini Veeraraghavan; James V. Miller (Neuroinformatics, 2014)

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. - Duc Fehr; Harini Veeraraghavan; Andreas Wibmer; Tatsuo Gondo; Kazuhiro Matsumoto; Herbert Alberto Vargas; Evis Sala; Hedvig Hricak; Joseph O. Deasy (Proc. Natl. Acad. Sci. USA, 2015)

Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT. - Duc Fehr; Charles Ross Schmidtlein; Sinchun Hwang; Joseph O. Deasy; Harini Veeraraghavan (ISBI, 2016)

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. - Jue Jiang; Yu-Chi Hu; Neelam Tyagi; Pengpeng Zhang; Andreas Rimner; Gig S. Mageras; Joseph O. Deasy; Harini Veeraraghavan (MICCAI (2), 2018)

Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation. - Jue Jiang; Jason Hu; Neelam Tyagi; Andreas Rimner; Sean L. Berry; Joseph O. Deasy; Harini Veeraraghavan (MICCAI (6), 2019)

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. - Jue Jiang; Yu-Chi Hu; Neelam Tyagi; Pengpeng Zhang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2019)

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. - Peter Klages; Ilyes Benslimane; Sadegh Riyahi; Jue Jiang; Margie Hunt; Joseph O. Deasy; Harini Veeraraghavan; Neelam Tyagi (CoRR, 2019)

Local block-wise self attention for normal organ segmentation. - Jue Jiang; Elguindi Sharif; Hyemin Um; Sean Berry; Harini Veeraraghavan (CoRR, 2019)

Automated Breast Density Measurements From Chest Computed Tomography Scans. - 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 (J. Medical Syst., 2019)

Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. - Jue Jiang; Yu-Chi Hu; Chia-Ju Liu; Darragh Halpenny; Matthew D. Hellmann; Joseph O. Deasy; Gig S. Mageras; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2019)

Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. - Jue Jiang; Harini Veeraraghavan (MICCAI (2), 2020)

Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT. - Hyemin Um; Jue Jiang; Maria Thor; Andreas Rimner; Leo Luo; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2020)

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. - Jue Jiang; Yu-Chi Hu; Neelam Tyagi; Andreas Rimner; Nancy Lee; Joseph O. Deasy; Sean Berry; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2020)

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. - Jue Jiang; Sadegh Riyahi Alam; Ishita Chen; Perry Zhang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2021)

Nested-block self-attention for robust radiotherapy planning segmentation. - Harini Veeraraghavan; Jue Jiang; Elguindi Sharif; Sean L. Berry; Ifeanyirochukwu Onochie; Aditya P. Apte; Laura Cervino; Joseph O. Deasy (CoRR, 2021)

Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. - Jue Jiang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2021)

Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT). - Jue Jiang; Neelam Tyagi; Kathryn Tringale; Christopher Crane; Harini Veeraraghavan (MICCAI (4), 2022)

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT. - Jue Jiang; Jun Hong; Kathryn Tringale; Marsha Reyngold; Christopher Crane; Neelam Tyagi; Harini Veeraraghavan (CoRR, 2022)

Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. - Jue Jiang; Andreas Rimner; Joseph O. Deasy; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2022)

One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs. - Jue Jiang; Harini Veeraraghavan (IEEE Trans. Medical Imaging, 2022)

3D Swin Transformer for Partial Medical Auto Segmentation. - Aneesh Rangnekar; Jue Jiang; Harini Veeraraghavan (FLARE@MICCAI, 2023)

Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. - Jue Jiang; Harini Veeraraghavan (CoRR, 2023)

Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation. - Jue Jiang; Harini Veeraraghavan (MIDL, 2024)

Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. - Aneesh Rangnekar; Nishant Nadkarni; Jue Jiang; Harini Veeraraghavan (CoRR, 2024)

Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images. - Jorge Tapias Gomez; Aneesh Rangnekar; Hannah Williams; Hannah Thompson; Julio Garcia-Aguilar; Joshua Jesse Smith; Harini Veeraraghavan (CoRR, 2024)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. - Jue Jiang; Aneesh Rangnekar; Harini Veeraraghavan (CoRR, 2024)

Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. - Jue Jiang; Chloe Min Seo Choi; Maria Thor; Joseph O. Deasy; Harini Veeraraghavan (CoRR, 2024)

Wasserstein HOG: Local Directionality Extraction via Optimal Transport. - Jiening Zhu; Harini Veeraraghavan; Jue Jiang; Jung Hun Oh; Larry Norton; Joseph O. Deasy; Allen R. Tannenbaum (IEEE Trans. Medical Imaging, 2024)

Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities. - Jue Jiang; Harini Veeraraghavan (ISBI, 2025)

Pretrained hybrid transformer for generalizable cardiac substructures segmentation from contrast and non-contrast CTs in lung and breast cancers. - Aneesh Rangnekar; Nikhil Mankuzhy; Jonas Willmann; Chloe Min Seo Choi; Abraham J. Wu; Maria Thor; Andreas Rimner; Harini Veeraraghavan (CoRR, 2025)

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion. - 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 (CoRR, 2025)

Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy. - Sudharsan Madhavan; Chengcheng Gui; Lando Bosma; Josiah Simeth; Jue Jiang; Nicolas Cote; Nima Hassan Rezaeian; Himanshu Nagar; Victoria Brennan; Neelam Tyagi; Harini Veeraraghavan (CoRR, 2025)