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Harini Veeraraghavan

Memorial Sloan Kettering Cancer Center

United States

Research Interests

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Recent Grants

Safer lung cancer radiotherapy delivery using novel artificial intelligence methods

Open Date: 2022-06-15

Close Date: 2027-05-31

Articles (20)

Collaborators (3)

Jean Moran

Vice Chair for Radiotherapy Physics & Director, Division of Radiotherapy Physics

Memorial Sloan Kettering Cancer Center

UNITED STATES

Mert Sabuncu

Professor of Electrical Engineering in Radiology

Cornell Tech

UNITED STATES

Allen Tannenbaum

Stony Brook University

UNITED STATES

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Harini Veeraraghavan

Research Interests

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Recent Grants

Articles (20)

Collaborators (3)

Jean Moran

Mert Sabuncu

Allen Tannenbaum

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Harini Veeraraghavan

Research Interests

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Recent Grants

Articles (20)

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion

External evaluation of a deep learning-based algorithm for automated lung tumor and esophagus segmentation on CBCT

Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets

Radiomic clustering using graph network techniques coupled with unbalanced optimal transport.

Outcomes After Radiation for Oligoprogressive Disease Sites in Patients With EGFR -Mutant Lung Cancer Treated With Osimertinib

Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence.

Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities

Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences

Tumor aware recurrent inter‐patient deformable image registration of computed tomography scans with lung cancer

Wasserstein HOG: Local Directionality Extraction via Optimal Transport

Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network

Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patients

Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues

Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images.

Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone‐beam CT

A model for gastrointestinal tract motility in a 4D imaging phantom of human anatomy

Artificial Intelligence in CT and MR Imaging for Oncological Applications

Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma Patients

Collaborators (3)

Jean Moran

Mert Sabuncu

Allen Tannenbaum

Make your next move.