Jayashree Kalpathy-Cramer, PhD

Harvard Medical School - Massachusetts General Hospital 
"Jayashree Kalpathy-Cramer"
Cross-listing: MPROTree - Imaging Tree - BME Tree - E-Tree


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Shyam P. Murarka grad student 1993 RPI (E-Tree)
 (Thesis: "Electrical, chemical and thermal behavior of deposited silicon oxides: A comparison between PECVD, ECR and sputtered films".)
William R. Hersh grad student 2009 OHSU (Biomedical Informatics)


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Clifton David Fuller grad student 2007-2011 OHSU (MPROTree)
BETA: Related publications


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Boxerman JL, Quarles CC, Hu LS, et al. (2020) Consensus Recommendations for a Dynamic Susceptibility Contrast MRI Protocol for Use in High-Grade Gliomas. Neuro-Oncology
Cardenas CE, Mohamed ASR, Yang J, et al. (2020) Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations. Medical Physics. 47: 2317-2322
Kurc T, Bakas S, Ren X, et al. (2020) Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches. Frontiers in Neuroscience. 14: 27
Ly I, Cardona J, Lou K, et al. (2020) MRI changes in patients with newly diagnosed glioblastoma treated as part of a phase II trial with bavituximab, radiation, and temozolomide. Journal of Clinical Oncology. 38: 2546-2546
Kim AE, Chang K, Beers A, et al. (2020) Advanced imaging to assess longitudinal vascular changes in brain metastases treated with immune checkpoint inhibition. Journal of Clinical Oncology. 38: 2529-2529
Chang K, Beers AL, Bai HX, et al. (2019) Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement. Neuro-Oncology
Coyner AS, Swan R, Campbell JP, et al. (2019) Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks. Ophthalmology. Retina. 3: 444-450
Vu QD, Graham S, Kurc T, et al. (2019) Methods for Segmentation and Classification of Digital Microscopy Tissue Images. Frontiers in Bioengineering and Biotechnology. 7: 53
Langlotz CP, Allen B, Erickson BJ, et al. (2019) A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. 190613
Elhalawani H, Elgohari B, Lin TA, et al. (2019) An quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. Clinical and Translational Radiation Oncology. 15: 83-92
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