Harini Veeraraghavan
Scholar

Harini Veeraraghavan

Google Scholar ID: ZZzfWHoAAAAJ
Associate Attending Computer Scientist, Memorial Sloan-Kettering Cancer Center
Multi-modality analysisimage segmentationdeep/machine learningimage registrationradiomics
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Citations & Impact
All-time
Citations
6,507
 
H-index
40
 
i10-index
67
 
Publications
20
 
Co-authors
34
list available
Contact
Emailjiangj1@mskcc.orgTwitterOpen ↗
Publications
11 items
Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs
2026
Cited
0
Benchmarking transferability of SSL pretraining to same and different modality segmentation tasks
2026
Cited
0
Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy
2026
Cited
0
Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images
2026
Cited
0
BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
2026
Cited
0
Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images
2026
Cited
0
brat: Aligned Multi-View Embeddings for Brain MRI Analysis
2025
Cited
0
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
2025
Cited
0
Co-authors
5 total
Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos
Professor of Computer Science, University of Minnesota
Maria Thor
Maria Thor
Assistant Attending Physicist, Memorial Sloan Kettering Cancer Center
Paul Schrater
Paul Schrater
University of Minnesota
Maria Gini
Maria Gini
Professor of Computer Science and Engineering, University of Minnesota
Tina Kapur
Tina Kapur
Brigham and Women's Hospital, Harvard Medical School