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Jayashree Kalpathy-Cramer
PeerJ Editor
300 Points

Contributions by role

Editor 300

Contributions by subject area

Ophthalmology
Radiology and Medical Imaging
Human-Computer Interaction
Computational Science
Anatomy and Physiology
Gastroenterology and Hepatology
Surgery and Surgical Specialties
Data Science

Jayashree Kalpathy-Cramer

PeerJ Editor

Summary

Research interests include the use of image processing and machine learning techniques for medical image analysis and retrieval, imaging for radiation therapy, survival analysis for cancer, information retrieval, and statistical modeling.

Data Mining & Machine Learning Oncology Ophthalmology Radiology & Medical Imaging

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Associate Professor of Radiology, Harvard Medical School

Massachusetts General Hospital
Center for Biomedical Imaging

Websites

  • QTIM lab
  • Google Scholar
  • PubMed Search

PeerJ Contributions

  • Edited 3

Academic Editor on

July 29, 2019
Identification of cecum time-location in a colonoscopy video by deep learning analysis of colonoscope movement
Minwoo Cho, Jee Hyun Kim, Kyoung Sup Hong, Joo Sung Kim, Hyoun-Joong Kong, Sungwan Kim
https://doi.org/10.7717/peerj.7256 PubMed 31392088
October 22, 2018
Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes
Toshihiko Nagasawa, Hitoshi Tabuchi, Hiroki Masumoto, Hiroki Enno, Masanori Niki, Hideharu Ohsugi, Yoshinori Mitamura
https://doi.org/10.7717/peerj.5696 PubMed 30370184
September 7, 2017
Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images
Jose Sigut, Omar Nunez, Francisco Fumero, Marta Gonzalez, Rafael Arnay
https://doi.org/10.7717/peerj.3763 PubMed 28894642