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H. Veeraraghavan · SciRah

Researcher profile · Semantic Scholar

H. Veeraraghavan

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H. Veeraraghavan — researcher profile on SciRah

h-index: 39
Works: 225
Citations: 6,904

Most-cited papers

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
K. Boehm, E. Aherne, L. Ellenson, I. Nikolovski +23 more
2022Nature Cancer337 citations Open access
Semantic Scholar
Artificial Intelligence in CT and MR Imaging for Oncological Applications
R. Paudyal, A. Shah, O. Akin, R. Do +9 more
2023Cancers95 citations Open access
Semantic Scholar
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
Jue Jiang, N. Tyagi, K. Tringale, C. Crane +1 more
2022International Conference on Medical Image Computing and Computer-Assisted Intervention70 citations Open access
Semantic Scholar
Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography images
D. Hsu, A. Ballangrud, A. Shamseddine, J. Deasy +4 more
2021Physics in Medicine and Biology42 citations Open access
Semantic Scholar
Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients
S. Alam, H. Veeraraghavan, K. Tringale, E. Amoateng +4 more
2022Physics and Imaging in Radiation Oncology39 citations Open access
Semantic Scholar
Combined Artificial Intelligence and Radiologist Model for Predicting Rectal Cancer Treatment Response from Magnetic Resonance Imaging: An External Validation Study
N. Horvat, H. Veeraraghavan, C. Nahas, David D. B. Bates +10 more
2022Abdominal Radiology35 citations Open access
Semantic Scholar
One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs
Jue Jiang, H. Veeraraghavan
2022IEEE Transactions on Medical Imaging30 citations Open access
Semantic Scholar
Nested-block self-attention multiple resolution residual network for multi-organ segmentation from CT
Jue Jiang, S. Elguindi, S. Berry, I. Onochie +3 more
2022Medical Physics (Lancaster)24 citations Open access
Semantic Scholar
Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
A. Iyer, M. Thor, I. Onochie, Jennifer Hesse +8 more
2021Physics in Medicine and Biology22 citations Open access
Semantic Scholar
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
Jue Jiang, A. Rangnekar, H. Veeraraghavan
2024Medical Physics (Lancaster)21 citations Open access
Semantic Scholar
Deep Learning–Based Model for Identifying Tumor in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy
Hannah M. Thompson, Jin K. Kim, R. Jiménez-Rodríguez, J. García-Aguilar +1 more
2022Diseases of the Colon & Rectum20 citations
Semantic Scholar
Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma Patients
A. McKenney, E. Weg, T. Bale, A. Wild +11 more
2022Advances in Radiation Oncology20 citations Open access
Semantic Scholar
Deep learning based dominant index lesion segmentation for mr-guided radiation therapy of prostate cancer
J. Simeth, Jue Jiang, A. Nosov, A. Wibmer +3 more
2023Medical Physics (Lancaster)18 citations Open access
Semantic Scholar
Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
M. Thor, A. Iyer, Jue Jiang, A. Apte +12 more
2021Physics and Imaging in Radiation Oncology15 citations Open access
Semantic Scholar
Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network
H. Williams, Hannah M. Thompson, Christina I. Lee, A. Rangnekar +10 more
2024Annals of Surgical Oncology12 citations Open access
Semantic Scholar
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
Jue Jiang, S. Alam, Ishita Chen, Pengpeng Zhang +3 more
2021Medical Physics (Lancaster)11 citations Open access
Semantic Scholar
Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation
Jue Jiang, H. Veeraraghavan
2024International Conference on Medical Imaging with Deep Learning10 citations
Semantic Scholar
A Model for Gastrointestinal Tract Motility in a 4D Imaging Phantom of Human Anatomy
E. Subashi, P. Segars, H. Veeraraghavan, J. Deasy +1 more
2022Medical Physics (Lancaster)9 citations
Semantic Scholar
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
Jue Jiang, Jun Hong, K. Tringale, M. Reyngold +3 more
2022Medical Physics (Lancaster)8 citations Open access
Semantic Scholar
Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients
F. J. Reinders, M. Savenije, M. de Ridder, M. Maspero +9 more
2024Physics and Imaging in Radiation Oncology7 citations Open access
Semantic Scholar
Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment
J. T. Gomez, A. Rangnekar, H. Williams, Hannah M. Thompson +3 more
2024Medical Imaging6 citations Open access
Semantic Scholar
Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
Jue Jiang, C. Choi, M. Thor, J. Deasy +1 more
2024Medical Physics (Lancaster)6 citations Open access
Semantic Scholar
BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
Yi-Zhou Wu, Shan-Song Wang, Yu-Heng Li, M. Safari +4 more
2026arXiv.org5 citations
Semantic Scholar
Outcomes after Radiation for Oligoprogressive Disease Sites in Patients with EGFR-mutant Lung Cancer Treated with Osimertinib
Monica F. Chen, M. Jeng, Jennifer Ma, Prashasti Agrawal +7 more
2025JCO Precision Oncology5 citations Open access
Semantic Scholar
Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues
Jue Jiang, Chloe Min Seo Choi, J. Deasy, A. Rimner +2 more
2024Physics and Imaging in Radiation Oncology5 citations Open access
Semantic Scholar
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images
R. Paudyal, Jue Jiang, James E. Han, B. Diplas +6 more
2024BJR artificial intelligence4 citations Open access
Semantic Scholar
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
Jue Jiang, A. Rangnekar, H. Veeraraghavan
2024arXiv.org3 citations
Semantic Scholar
Patient-specific fine-tuning of a self-distilled transformer model for normal tissue segmentation in abdominal magnetic resonance guided adaptive radiotherapy
N. Côté, Jue Jiang, S. Elguindi, Marsha Reyngold +5 more
2026Physics and Imaging in Radiation Oncology2 citations Open access
Semantic Scholar
Radiomic clustering using graph network techniques coupled with unbalanced optimal transport
Jung Hun Oh, A. Apte, H. Veeraraghavan, Jiening Zhu +2 more
2025Computational and Structural Biotechnology Journal2 citations Open access
Semantic Scholar
BENCHMARKING TRANSFERABILITY OF SELF-SUPERVISED PRETRAINING FOR MULTI-ORGAN SEGMENTATION ON DIFFERENT MODALITIES
Jue Jiang, H. Veeraraghavan
2025IEEE International Symposium on Biomedical Imaging2 citations Open access
Semantic Scholar
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
A. Rangnekar, Nishant Nadkarni, Jue Jiang, H. Veeraraghavan
2024Medical Imaging2 citations Open access
Semantic Scholar
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis
Jue Jiang, A. Rangnekar, C. Choi, H. Veeraraghavan
2023arXiv.org2 citations Open access
Semantic Scholar
Wasserstein HOG: Local Directionality Extraction via Optimal Transport
Jiening Zhu, H. Veeraraghavan, Jue Jiang, J. Oh +3 more
2023IEEE Transactions on Medical Imaging2 citations Open access
Semantic Scholar
Portable framework to deploy deep learning segmentation models for medical images
A. Iyer, E. LoCastro, A. Apte, H. Veeraraghavan +1 more
2021bioRxiv2 citations Open access
Semantic Scholar
MHub.ai: A Simple, Standardized, and Reproducible Platform for AI Models in Medical Imaging
Leonard Nürnberg, D. Bontempi, S. Pai, C. Lisle +16 more
2026arXiv.org1 citations
Semantic Scholar
Metastatic Trajectories in Non-Small Cell Lung Cancer Guide Local and Systemic Therapies.
Jonas Willmann, E. Dee, L. Hendriks, Nikolaos M. Dimitriou +19 more
2026Journal of Clinical Oncology1 citations Open access
Semantic Scholar
Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence
Wei Zhao, M. Grkovski, H. Schöder, A. Apte +4 more
2025Physics and Imaging in Radiation Oncology1 citations Open access
Semantic Scholar
Artificial Intelligence Apps for Medical Image Analysis using pyCERR and Cancer Genomics Cloud
A. Apte, E. LoCastro, A. Iyer, S. Elguindi +5 more
2025bioRxiv1 citations
Semantic Scholar
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
A. Rangnekar, H. Veeraraghavan
2025Trans. Mach. Learn. Res.1 citations
Semantic Scholar
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
J. T. Gomez, Nishant Nadkarni, L. Bosma, Jue Jiang +6 more
2025Physics in Medicine and Biology1 citations Open access
Semantic Scholar
AI Contouring in HDR Prostate Brachytherapy Using a General Foundation Model
J. Beaudry, I. Youssef, A. Damato, J. Jiang +3 more
2024International Journal of Radiation Oncology, Biology, Physics1 citations Open access
Semantic Scholar
In-Depth Timing Study of AI-Assisted OAR Contouring with a Single Institution Expert
S. Elguindi, J. Jiang, H. Veeraraghavan, A. Apte +3 more
2024International Journal of Radiation Oncology, Biology, Physics1 citations
Semantic Scholar
Under-Representation for Female Cancers in Commercial Auto-Segmentation Solutions and Open-Source Imaging Datasets.
M. Thor, V. M. Williams, H. Veeraraghavan, C. Hajj +4 more
2023International Journal of Radiation Oncology, Biology, Physics1 citations Open access
Semantic Scholar
Clinical Feasibility of Deep Learning-Based CT during Treatment CBCT Tumor Registration-Segmentation in Thoracic Radiotherapy (RT).
C. Choi, N. Mankuzhy, J. Jiang, S. Elguindi +3 more
2023International Journal of Radiation Oncology, Biology, Physics1 citations
Semantic Scholar
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection
Jiening Zhu, H. Veeraraghavan, L. Norton, J. Deasy +1 more
20221 citations
Semantic Scholar
Clinical Commissioning Guidelines
H. Veeraraghavan
20211 citations
Semantic Scholar
MRI Radiomic Features of Radiation Induced Cardiac Toxicity and the Effects of c-GAS/STING Signaling.
Z. Moore, S. Patel, M. Adnan, V. Chavez +5 more
2021International Journal of Radiation Oncology, Biology, Physics1 citations Open access
Semantic Scholar
Mid-Treatment CT Mean Density, Volume and Mass Changes as Early Response Biomarkers in Head and Neck Cancer Radiotherapy Using AI-Based Deformable Image Registration
L. Nayak, J. Jiang, H. Veeraraghavan, P. Zhang +3 more
2026International Journal of Radiation Oncology, Biology, Physics0 citations
Semantic Scholar
Deep Learning Enables Automated Detection of Mature B Cell Neoplasms by Flow Cytometry.
S. Chalise, Mikhail Roshal, Qi Gao, An-Yi Li +3 more
2026Modern Pathology0 citations Open access
Semantic Scholar
External evaluation of a deep learning-based algorithm for automated lung tumor and esophagus segmentation on CBCT
Zhe-Hao Zhang, D. Hobbis, Jue Jiang, A. Rangnekar +4 more
2026Biomedical engineering and physics express0 citations Open access
Semantic Scholar

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