Harini Veeraraghavan
Orcid: 0000-0002-4054-5529
According to our database1,
Harini Veeraraghavan
authored at least 47 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, March, 2024
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer.
CoRR, 2024
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences.
CoRR, 2024
Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images.
CoRR, 2024
2023
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis.
CoRR, 2023
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
2022
One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
CoRR, 2022
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Unpaired cross-modality educed distillation (CMEDL) applied to CT lung tumor segmentation.
CoRR, 2021
CoRR, 2021
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
CoRR, 2021
2020
PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation.
IEEE Trans. Medical Imaging, 2020
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT.
CoRR, 2020
Unified Cross-Modality Feature Disentangler for Unsupervised Multi-domain MRI Abdomen Organs Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.
IEEE Trans. Medical Imaging, 2019
J. Medical Syst., 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.
CoRR, 2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
CoRR, 2019
Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2016
Automatic detection and tracking of longitudinal changes of multiple bone metastases from dual energy CT.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.
Proc. Natl. Acad. Sci. USA, 2015
2014
Faceted Visualization of Three Dimensional Neuroanatomy By Combining Ontology with Faceted Search.
Neuroinformatics, 2014
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
2013
2011
Active learning guided interactions for consistent image segmentation with reduced user interactions.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010
2009
IEEE Trans. Intell. Transp. Syst., 2009
2008
Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART.
J. Intell. Robotic Syst., 2008
Learning task specific plans through sound and visually interpretable demonstrations.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
2007
IEEE Robotics Autom. Mag., 2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Robust target detection and tracking through integration of motion, color, and geometry.
Comput. Vis. Image Underst., 2006
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
No Fear: University of Minnesota Robotics Day Camp Introduces Local Youth to Hands-on Technologies.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006
2005
Switching Kalman Filter-Based Approach for Tracking and Event Detection at Traffic Intersections.
Proceedings of the Intelligent Control, 2005
2004
Combining Multiple Tracking Modalities for Vehicle Tracking at Traffic Intersections.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Communication Strategies in Multi-robot Search and Retrieval: Experiences with MinDART.
Proceedings of the Distributed Autonomous Robotic Systems 6, 2004
2003
IEEE Trans. Intell. Transp. Syst., 2003
2002
MinDART: A Multi-Robot Search and Retrieval System.
Proceedings of the AAAI Mobile Robot Competition 2002, Papers from the AAAI Workshop, 28 July, 2002
Proceedings of the 14th International Conference on Digital Signal Processing, 2002