Harini Veeraraghavan

Orcid: 0000-0002-4054-5529

According to our database1, Harini Veeraraghavan authored at least 43 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Wasserstein HOG: Local Directionality Extraction via Optimal Transport.
IEEE Trans. Medical Imaging, March, 2024

Trustworthiness of Pretrained Transformers for Lung Cancer Segmentation.
CoRR, 2024

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

Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation.
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

Nested-block self-attention for robust radiotherapy planning segmentation.
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

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

Local block-wise self attention for normal organ segmentation.
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.
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
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
CoRR, 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
Learning to Recognize Video-Based Spatiotemporal Events.
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

Teaching sequential tasks with repetition through demonstration.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Using Robots to Raise Interest in Technology Among Underrepresented Groups.
IEEE Robotics Autom. Mag., 2007

Learning Dynamic Event Descriptions in Image Sequences.
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

Deterministic sampling-based switching kalman filtering for vehicle tracking.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

Adaptive Geometric Templates for Feature Matching.
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
Computer vision algorithms for intersection monitoring.
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

Real-time tracking for managing suburban intersections.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002


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