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H

Harini Veeraraghavan

memorial sloan kettering cancer center

39H指数
187论文数
7.3K被引数
收录论文 81
发表时间
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Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images肿瘤感知增广结合任务引导的注意力分析提高了磁共振图像中直肠癌分割的准确性
errBiomedical Signal Processing and Control
IF4.9
err2026-08-21
err0
PREAI
errAneesh Rangnekar; Joao Miranda; Natally Horvat; Stephanie Chahwan; Samir Alrayess; Aditya Apte; Aditi Iyer; Eve LoCastro; Revathi Ravella; Marc J. Gollub; Iva Petkovska; Jesse Joshua Smith; Paul Romesser; Julio Garcia-Aguilar; Harini Veeraraghavan; Joseph O. Deasy
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Segmentation regularized training for multi-domain deep learning registration applied to magnetic resonance-guided prostate cancer radiotherapy多域深度学习配准应用于磁共振引导前列腺癌放疗的正则化分割训练
errPhysics and Imaging in Radiation Oncology
IF3.3
err2026-05-09
err0
errOAAI
errSudharsan Madhavan; Chengcheng Gui; Lando Bosma; Josiah Simeth; Jue Jiang; Nicolas Côté; Nima Hassan Rezaeian; Himanshu Nagar; Victoria Brennan; Neelam Tyagi; Harini Veeraraghavan
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Modality-agnostic; patient-specific digital twins modeling temporally varying digestive motion模态无关；患者特异性数字孪生建模时变消化运动
errphysics in medicine & biology
IF0
err2026-01-06
err0
errOAAI
errJorge Tapias Gomez; Nishant Nadkarni; Lando S Bosma; Jue Jiang; Ergys D Subashi; William P Segars; James M Balter; Mert R Sabuncu; Neelam Tyagi; Harini Veeraraghavan
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Radiomic clustering using graph network techniques coupled with unbalanced optimal transport基于图网络技术并结合非平衡最优传输的放射组学聚类
errComputational and Structural Biotechnology Journal
IF4.1
err2025-10-31
err0
errOAAI
errJung Hun Oh; Aditya Apte; Harini Veeraraghavan; Jiening Zhu; Amita Shukla-Dave; Joseph O. Deasy
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Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence使用人工智能从氟脱氧葡萄糖正电子发射断层扫描图像中预测头颈肿瘤的缺氧体积
errphysics imaging in radiation oncology
IF0
err2025-04-01
err0
errOAAI
errWei Zhao; Milan Grkovski; Heiko Schoder; Aditya P. Apte; John Humm; Nancy Y. Lee; Joseph O. Deasy; Harini Veeraraghavan
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Deep Learning-Based Automatic Detection of B-Cell Neoplasms in Clinical Flow Cytometry for Diagnosis and Monitoring of Hematological Diseases
errLABORATORY INVESTIGATION
IF4.2
err2025-03-01
err0
PREAI
errChalise, Sulov; Roshal, Mikhail; Dogan, Ahmet; Gao, Qi; Li, Anyi; Veeraraghavan, Harini; Zhu, Menglei
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Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets
errCLINICAL ONCOLOGY
IF3
err2025-02-01
err0
PREAI
errThor, M.; Williams, V.; Hajj, C.; Cervino, L.; Veeraraghavan, H.; Elguindi, S.; Tyagi, N.; Shukla-Dave, A.; Moran, J. M.
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Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
errMEDICAL PHYSICS
IF3.2
err2024-12-05
err0
PREAI
errJiang, Jue; Rangnekar, Aneesh; Veeraraghavan, Harini
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ASO Visual Abstract: Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network
errANNALS OF SURGICAL ONCOLOGY
IF3.5
err2024-06-08
err0
PREAI
errWilliams, Hannah; Thompson, Hannah M.; Lee, Christina; Rangnekar, Aneesh; Gomez, Jorge T.; Widmar, Maria; Wei, Iris H.; Pappou, Emmanouil P.; Nash, Garrett M.; Weiser, Martin R.; Paty, Philip B.; Smith, J. Joshua; Veeraraghavan, Harini; Garcia-Aguilar, Julio
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Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network全辅助治疗局部晚期直肠癌内镜疗效评估: 高精度卷积神经网络的开发与验证
errANNALS OF SURGICAL ONCOLOGY
IF3.5
err2024-05-03
err3
PREAI
errWilliams, Hannah; Thompson, Hannah M.; Lee, Christina; Rangnekar, Aneesh; Gomez, Jorge T.; Widmar, Maria; Wei, Iris H.; Pappou, Emmanouil P.; Nash, Garrett M.; Weiser, Martin R.; Paty, Philip B.; Smith, J. Joshua; Veeraraghavan, Harini; Garcia-Aguilar, Julio
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Wasserstein HOG: Local Directionality Extraction via Optimal Transport
errIEEE TRANSACTIONS ON MEDICAL IMAGING
IF9.8
err2024-03-01
err0
errOAAI
errZhu, Jiening; Veeraraghavan, Harini; Jiang, Jue; Oh, Jung Hun; Norton, Larry; Deasy, Joseph O.; Tannenbaum, Allen
err分享
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Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues基于人工智能的胸部正常组织自动分割和放射治疗剂量图
errPHYSICS & IMAGING IN RADIATION ONCOLOGY
IF3.3
err2024-01-01
err2
errOAAI
errJiang, Jue; Choi, Chloe Min Seo; Deasy, Joseph O.; Rimner, Andreas; Thor, Maria; Veeraraghavan, Harini
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Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
errMEDICAL PHYSICS
IF3.2
err2023-06-02
err1
errOAAI
errJiang, Jue; Hong, Jun; Tringale, Kathryn; Reyngold, Marsha; Crane, Christopher; Tyagi, Neelam; Veeraraghavan, Harini
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One Shot PACS: Patient Specific Anatomic Context and Shape Prior Aware Recurrent Registration-Segmentation of Longitudinal Thoracic Cone Beam CTs
errIEEE TRANSACTIONS ON MEDICAL IMAGING
IF9.8
err2022-08-01
err12
errOAAI
errJiang, Jue; Veeraraghavan, Harini
err分享
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Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer使用机器学习的多模态数据整合可改善高级别浆液性卵巢癌的风险分层
errNATURE CANCER
IF28.5
err2022-06-28
err120
errOAAI
errBoehm, Kevin M.; Aherne, Emily A.; Ellenson, Lora; Nikolovski, Ines; Alghamdi, Mohammed; Vazquez-Garcia, Ignacio; Zamarin, Dmitriy; Roche, Kara Long; Liu, Ying; Patel, Druv; Aukerman, Andrew; Pasha, Arfath; Rose, Doori; Selenica, Pier; Causa Andrieu, Pamela I.; Fong, Chris; Capanu, Marinela; Reis-Filho, Jorge S.; Vanguri, Rami; Veeraraghavan, Harini; Gangai, Natalie; Sosa, Ramon; Leung, Samantha; McPherson, Andrew; Gao, JianJiong; Lakhman, Yulia; Shah, Sohrab P.
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Nested block self-attention multiple resolution residual network for multiorgan segmentation from CT
errMEDICAL PHYSICS
IF3.2
err2022-06-08
err18
errOAAI
errJiang, Jue; Elguindi, Sharif; Berry, Sean L.; Onochie, Ifeanyirochukwu; Cervino, Laura; Deasy, Joseph O.; Veeraraghavan, Harini
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Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation
errIEEE TRANSACTIONS ON MEDICAL IMAGING
IF9.8
err2022-05-01
err13
errOAAI
errJiang, Jue; Rimner, Andreas; Deasy, Joseph O.; Veeraraghavan, Harini
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Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy
errDISEASES OF THE COLON & RECTUM
IF3.7
err2022-04-01
err7
errOAAI
errThompson, Hannah M.; Kim, Jin K.; Jimenez-Rodriguez, Rosa M.; Garcia-Aguilar, Julio; Veeraraghavan, Harini
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Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
errPHYSICS IN MEDICINE AND BIOLOGY
IF3.4
err2022-01-17
err14
errOAAI
errIyer, Aditi; Thor, Maria; Onochie, Ifeanyirochukwu; Hesse, Jennifer; Zakeri, Kaveh; LoCastro, Eve; Jiang, Jue; Veeraraghavan, Harini; Elguindi, Sharif; Lee, Nancy Y.; Deasy, Joseph O.; Apte, Aditya P.
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Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients
errPHYSICS & IMAGING IN RADIATION ONCOLOGY
IF3.3
err2022-01-01
err27
errOAAI
errAlam, Sadegh; Veeraraghavan, Harini; Tringale, Kathryn; Amoateng, Emmanuel; Subashi, Ergys; Wu, Abraham J.; Crane, Christopher H.; Tyagi, Neelam
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研究方向

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