Jayashree Kalpathy-Cramer, PhD
Affiliations: | Harvard Medical School - Massachusetts General Hospital |
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"Jayashree Kalpathy-Cramer"Cross-listing: Imaging Tree - BME Tree - Computer Science Tree - E-Tree
Parents
Sign in to add mentor| 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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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 |