Harini Veeraraghavan

Medicine · Health Sciences

39h-index7.3kcitations187works0.82yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Radiomics and Machine Learning in Medical Imaging(110), Advanced Radiotherapy Techniques(37), Medical Imaging Techniques and Applications(31), Lung Cancer Diagnosis and Treatment(21), AI in cancer detection(17)

Publications187 total

Topological data analysis visualization for interpretable assessment of AI contouring quality
2026
brat: Aligned Multi-View Embeddings for Brain MRI Analysis
ArXiv.org·2025Open Access
brat: Aligned Multi-View Embeddings for Brain MRI Analysis
arXiv (Cornell University)·2025Open Access
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
Physics in Medicine and Biology·2025Open Access
Dual Cross-Attention Siamese Transformer for Rectal Tumor Regrowth Assessment in Watch-and-Wait Endoscopy
arXiv (Cornell University)·2025Open Access
P1.11.64 Vision Foundation Model to Predict Immunotherapy Treatment Response in Lung Cancer Patients
Journal of Thoracic Oncology·2025
Off-Domain AI Autosegmentation in Pancreatic SMART: Balancing Efficiency Gains and Dosimetric Risks
International Journal of Radiation Oncology*Biology*Physics·2025
Abstract B026: Artificial Intelligence Apps for Medical Image Analysis using pyCERR and Cancer Genomics Cloud
Clinical Cancer Research·2025
Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy
arXiv (Cornell University)·2025Open Access
Outcomes After Radiation for Oligoprogressive Disease Sites in Patients With <i>EGFR</i> -Mutant Lung Cancer Treated With Osimertinib
JCO Precision Oncology·2025· 1 cited
Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities
2025
Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence
Physics and Imaging in Radiation Oncology·2025Open Access
1204 Deep Learning-Based Automatic Detection of B-Cell Neoplasms in Clinical Flow Cytometry for Diagnosis and Monitoring of Hematological Diseases
Laboratory Investigation·2025
Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment
2025· 2 citedOpen Access
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
2025Open Access
Artificial Intelligence Apps for Medical Image Analysis using pyCERR and Cancer Genomics Cloud
2025Open Access
Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets
Clinical Oncology·2025· 1 citedOpen Access
Inter-Patient Registration Methods for Voxel-Based Analysis in Lung Cancer
SSRN Electronic Journal·2025Open Access
Radiomic clustering using graph network techniques coupled with unbalanced optimal transport
Computational and Structural Biotechnology Journal·2025Open Access
Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
Medical Physics·2024· 6 citedOpen Access
page 1 of 10Next →

Frequent Co-authors

Joseph O. Deasy(18), Evis Sala(11), Hebert Alberto Vargas(7), Yulia Lakhman(7), Neelam Tyagi(7), Iva Petkovska(6), Jue Jiang(6), Stéphanie Nougaret(6), Aditya Apte(6), Hyemin Um(6), Florent Tixier(6), Alexandra Snyder(5), Hedvig Hricak(5), Ramon E. Sosa(5), Elizabeth J. Sutton(5), Robert J. Young(5), Dmitriy Zamarin(4), Junting Zheng(4), Natally Horvat(4), Marinela Capanu(4)