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Harini Veeraraghavan

Showing results (81-90 of 96) with videos related to

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Breast Cancer Research : BCR|May 30, 2020
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapyElizabeth J Sutton, Natsuko Onishi, Duc A Fehr, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 7, 2020
Library of deep-learning image segmentation and outcomes model-implementationsAditya P Apte, Aditi Iyer, Maria Thor, et al.
Annals of Surgical Oncology|May 3, 2024
Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural NetworkHannah Williams, Hannah M Thompson, Christina Lee, et al.
Advances in Radiation Oncology|January 30, 2023
Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma PatientsAnna Sophia McKenney, Emily Weg, Tejus A Bale, et al.
Abdominal Radiology (New York)|June 17, 2022
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation studyNatally Horvat, Harini Veeraraghavan, Caio S R Nahas, et al.
Medical Physics|August 26, 2018
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017Jinzhong Yang, Harini Veeraraghavan, Samuel G Armato, et al.
Physics and Imaging in Radiation Oncology|November 6, 2024
Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patientsFloris C J Reinders, Mark H F Savenije, Mischa de Ridder, et al.
Neuro-Oncology|April 25, 2020
Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatmentRaymond Y Huang, Robert J Young, Benjamin M Ellingson, et al.
Research Square|June 22, 2026
MHub.ai: A Standardized Platform for Reproducible AI Research in Medical ImagingHugo Aerts, Leonard Nürnberg, Dennis Bontempi, et al.
Cancers|November 20, 2020
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian CarcinomaHarini Veeraraghavan, Herbert Alberto Vargas, Alejandro Jimenez-Sanchez, et al.
Pageof 10

Showing results (81-90 of 96) with videos related to

Sort By:
Pageof 10
Breast Cancer Research : BCR|May 30, 2020
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapyElizabeth J Sutton, Natsuko Onishi, Duc A Fehr, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|May 7, 2020
Library of deep-learning image segmentation and outcomes model-implementationsAditya P Apte, Aditi Iyer, Maria Thor, et al.
Annals of Surgical Oncology|May 3, 2024
Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural NetworkHannah Williams, Hannah M Thompson, Christina Lee, et al.
Advances in Radiation Oncology|January 30, 2023
Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma PatientsAnna Sophia McKenney, Emily Weg, Tejus A Bale, et al.
Abdominal Radiology (New York)|June 17, 2022
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation studyNatally Horvat, Harini Veeraraghavan, Caio S R Nahas, et al.
Medical Physics|August 26, 2018
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017Jinzhong Yang, Harini Veeraraghavan, Samuel G Armato, et al.
Physics and Imaging in Radiation Oncology|November 6, 2024
Automatic segmentation for magnetic resonance imaging guided individual elective lymph node irradiation in head and neck cancer patientsFloris C J Reinders, Mark H F Savenije, Mischa de Ridder, et al.
Neuro-Oncology|April 25, 2020
Volumetric analysis of IDH-mutant lower-grade glioma: a natural history study of tumor growth rates before and after treatmentRaymond Y Huang, Robert J Young, Benjamin M Ellingson, et al.
Research Square|June 22, 2026
MHub.ai: A Standardized Platform for Reproducible AI Research in Medical ImagingHugo Aerts, Leonard Nürnberg, Dennis Bontempi, et al.
Cancers|November 20, 2020
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian CarcinomaHarini Veeraraghavan, Herbert Alberto Vargas, Alejandro Jimenez-Sanchez, et al.
Pageof 10