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Harini Veeraraghavan
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2020 – today
- 2024
- [j13]Jiening Zhu
, Harini Veeraraghavan
Wasserstein HOG: Local Directionality Extraction via Optimal Transport. IEEE Trans. Medical Imaging 43(3): 916-927 (2024) - [i19]Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan:
Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation. CoRR abs/2403.13113 (2024) - [i18]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 abs/2405.03762 (2024) - [i17]Jue Jiang, Aneesh Rangnekar, Harini Veeraraghavan:
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences. CoRR abs/2405.08657 (2024) - [i16]Jue Jiang, Chloe Min Seo Choi, Maria Thor, Joseph O. Deasy, Harini Veeraraghavan:
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer. CoRR abs/2409.11910 (2024) - 2023
- [c20]Aneesh Rangnekar
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI 2023: 222-235 - [i15]Jue Jiang, Harini Veeraraghavan:
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis. CoRR abs/2310.01209 (2023) - 2022
- [j12]Jue Jiang
Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1057-1068 (2022) - [j11]Jue Jiang
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): 2021-2032 (2022) - [c19]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: 556-566 - [i14]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 abs/2201.11000 (2022) - [i13]Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan:
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT). CoRR abs/2205.10342 (2022) - [i12]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 abs/2210.14297 (2022) - 2021
- [i11]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 abs/2102.08556 (2021) - [i10]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 abs/2102.13541 (2021) - [i9]Jue Jiang, Andreas Rimner, Joseph O. Deasy, Harini Veeraraghavan:
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation. CoRR abs/2107.07985 (2021) - 2020
- [j10]Jue Jiang
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation. IEEE Trans. Medical Imaging 39(12): 4071-4084 (2020) - [c18]Jue Jiang, Harini Veeraraghavan:
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation. MICCAI (2) 2020: 347-358 - [i8]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 abs/2005.13690 (2020) - [i7]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 abs/2007.09465 (2020) - [i6]Jue Jiang, Harini Veeraraghavan:
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation. CoRR abs/2007.09669 (2020)
2010 – 2019
- 2019
- [j9]Touseef Ahmad Qureshi, Harini Veeraraghavan, Janice S. Sung, Jennifer B. Kaplan, Jessica Flynn
Automated Breast Density Measurements From Chest Computed Tomography Scans. J. Medical Syst. 43(8): 242:1-242:8 (2019) - [j8]Jue Jiang
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. IEEE Trans. Medical Imaging 38(1): 134-144 (2019) - [c17]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: 221-229 - [i5]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 abs/1901.11369 (2019) - [i4]Peter Klages, Ilyes Benslimane, Sadegh Riyahi, Jue Jiang, Margie Hunt, Joseph O. 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 abs/1902.00536 (2019) - [i3]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 abs/1909.04542 (2019) - [i2]Jue Jiang, Elguindi Sharif, Hyemin Um, Sean Berry, Harini Veeraraghavan:
Local block-wise self attention for normal organ segmentation. CoRR abs/1909.05054 (2019) - 2018
- [c16]Jue Jiang
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. MICCAI (2) 2018: 777-785 - 2016
- [c15]Duc Fehr, Charles Ross Schmidtlein
Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT. ISBI 2016: 168-171 - 2015
- [j7]Duc Fehr
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. Proc. Natl. Acad. Sci. USA 112(46): E6265-E6273 (2015) - 2014
- [j6]Harini Veeraraghavan
Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search. Neuroinformatics 12(2): 245-259 (2014) - [c14]Harini Veeraraghavan
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection. MLMI 2014: 149-156 - 2013
- [i1]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 abs/1303.0964 (2013) - 2011
- [c13]Harini Veeraraghavan
Active learning guided interactions for consistent image segmentation with reduced user interactions. ISBI 2011: 1645-1648 - 2010
- [c12]Harini Veeraraghavan
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions. Web Intelligence 2010: 581-588
2000 – 2009
- 2009
- [j5]Harini Veeraraghavan
Learning to Recognize Video-Based Spatiotemporal Events. IEEE Trans. Intell. Transp. Syst. 10(4): 628-638 (2009) - 2008
- [j4]Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan
Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART. J. Intell. Robotic Syst. 52(3-4): 363-387 (2008) - [c11]Harini Veeraraghavan, Manuela M. Veloso:
Teaching sequential tasks with repetition through demonstration. AAMAS (3) 2008: 1357-1360 - [c10]Harini Veeraraghavan
Learning task specific plans through sound and visually interpretable demonstrations. IROS 2008: 2599-2604 - 2007
- [j3]Kelly R. Cannon, Monica A. LaPoint, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan
Using Robots to Raise Interest in Technology Among Underrepresented Groups. IEEE Robotics Autom. Mag. 14(2): 73-81 (2007) - [c9]Harini Veeraraghavan
Learning Dynamic Event Descriptions in Image Sequences. CVPR 2007 - 2006
- [j2]Harini Veeraraghavan
Robust target detection and tracking through integration of motion, color, and geometry. Comput. Vis. Image Underst. 103(2): 121-138 (2006) - [c8]Kelly R. Cannon, Monica Anderson, Nate Bird, Katherine A. Panciera, Harini Veeraraghavan
No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies. ICRA 2006: 363-368 - [c7]Harini Veeraraghavan
Adaptive Geometric Templates for Feature Matching. ICRA 2006: 3393-3398 - [c6]Harini Veeraraghavan, Nikos Papanikolopoulos, Paul R. Schrater:
Deterministic sampling-based switching kalman filtering for vehicle tracking. ITSC 2006: 1340-1345 - 2005
- [c5]Harini Veeraraghavan
Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections. ISIC 2005: 1167-1172 - 2004
- [c4]Paul E. Rybski, Amy C. Larson, Harini Veeraraghavan
Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART. DARS 2004: 317-326 - [c3]Harini Veeraraghavan
Combining Multiple Tracking Modalities for Vehicle Tracking at Traffic Intersections. ICRA 2004: 2303-2308 - 2003
- [j1]Harini Veeraraghavan
Computer vision algorithms for intersection monitoring. IEEE Trans. Intell. Transp. Syst. 4(2): 78-89 (2003) - 2002
- [c2]Harini Veeraraghavan
Real-time tracking for managing suburban intersections. DSP 2002: 1023-1026 - [c1]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: 83-91
Coauthor Index
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