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Harini Veeraraghavan

Showing results (51-60 of 96) with videos related to

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IEEE Transactions on Medical Imaging|July 25, 2018
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT ImagesJue Jiang, Yu-Chi Hu, Chia-Ju Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance imagesDuc Fehr, Harini Veeraraghavan, Andreas Wibmer, et al.
Radiology|March 8, 2018
MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant TherapyNatally Horvat, Harini Veeraraghavan, Monika Khan, et al.
Scientific Reports|March 5, 2013
GBM volumetry using the 3D Slicer medical image computing platformJan Egger, Tina Kapur, Andriy Fedorov, et al.
Biorxiv : the Preprint Server for Biology|February 3, 2025
Artificial Intelligence Apps for Medical Image Analysis using pyCERR and Cancer Genomics CloudAditya P Apte, Eve LoCastro, Aditi Iyer, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 13, 2016
Breast cancer molecular subtype classifier that incorporates MRI featuresElizabeth J Sutton, Brittany Z Dashevsky, Jung Hun Oh, et al.
Abdominal Radiology (New York)|November 27, 2018
Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancerAndreas Meier, Harini Veeraraghavan, Stephanie Nougaret, et al.
Physics and Imaging in Radiation Oncology|June 3, 2026
Segmentation regularized training for multi-domain deep learning registration applied to magnetic resonance-guided prostate cancer radiotherapySudharsan Madhavan, Chengcheng Gui, Lando Bosma, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 9, 2015
Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assayElizabeth J Sutton, Jung Hun Oh, Brittany Z Dashevsky, et al.
BJR Artificial Intelligence|March 13, 2024
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR imagesRamesh Paudyal, Jue Jiang, James Han, et al.
Pageof 10

Showing results (51-60 of 96) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Medical Imaging|July 25, 2018
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT ImagesJue Jiang, Yu-Chi Hu, Chia-Ju Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2015
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance imagesDuc Fehr, Harini Veeraraghavan, Andreas Wibmer, et al.
Radiology|March 8, 2018
MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant TherapyNatally Horvat, Harini Veeraraghavan, Monika Khan, et al.
Scientific Reports|March 5, 2013
GBM volumetry using the 3D Slicer medical image computing platformJan Egger, Tina Kapur, Andriy Fedorov, et al.
Biorxiv : the Preprint Server for Biology|February 3, 2025
Artificial Intelligence Apps for Medical Image Analysis using pyCERR and Cancer Genomics CloudAditya P Apte, Eve LoCastro, Aditi Iyer, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 13, 2016
Breast cancer molecular subtype classifier that incorporates MRI featuresElizabeth J Sutton, Brittany Z Dashevsky, Jung Hun Oh, et al.
Abdominal Radiology (New York)|November 27, 2018
Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancerAndreas Meier, Harini Veeraraghavan, Stephanie Nougaret, et al.
Physics and Imaging in Radiation Oncology|June 3, 2026
Segmentation regularized training for multi-domain deep learning registration applied to magnetic resonance-guided prostate cancer radiotherapySudharsan Madhavan, Chengcheng Gui, Lando Bosma, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 9, 2015
Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assayElizabeth J Sutton, Jung Hun Oh, Brittany Z Dashevsky, et al.
BJR Artificial Intelligence|March 13, 2024
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR imagesRamesh Paudyal, Jue Jiang, James Han, et al.
Pageof 10