The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Greg Slabaugh sits on this spectrum.
This scientist: 168 publications — 34th percentile
34% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Greg Slabaugh sits on this spectrum.
This scientist: 36 D-Index — 23rd percentile
23% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Greg Slabaugh is affiliated with Queen Mary University of London in the United Kingdom. Their research spans multiple fields with a primary focus on Computer Science and Medicine. Within these broad areas, their work emphasizes specialized subfields such as Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, as well as Media Technology.
The scientist's contributions cover a range of topics primarily related to image processing and machine learning methodologies. Key research topics include advanced image processing techniques, image and signal denoising methods, image enhancement techniques, and broader image processing techniques and applications. They have also explored domain adaptation and few-shot learning, multimodal machine learning applications, and advanced neural network applications.
Several recent papers illustrate the scope of their research. These include:
The publication venues where Greg has frequently contributed reflect interdisciplinary interests and include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), European Heart Journal, Heart Rhythm, and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Collaboration plays an important role in Greg's research output. Frequent co-authors include Caroline H. Roney, Shanxin Yuan, Steffen E. Petersen, Elisa Rauseo, and Nay Aung.
Matthias Delange;Rahaf Aljundi;Marc Masana;Sarah Parisot
Guang Yang;Simiao Yu;Hao Dong;Greg Slabaugh
Xujiong Ye;Xinyu Lin;J. Dehmeshki;G. Slabaugh
Greg Slabaugh;Bruce Culbertson;Tom Malzbender;Ron Schafer
G. Slabaugh;G. Unal
Huong Quynh Dinh;G. Turk;G. Slabaugh
G. Unal;S. Bucher;S. Carlier;G. Slabaugh
Huong Quynh Dinh;G. Turk;G. Slabaugh
Atif Riaz;Muhammad Asad;Eduardo Alonso;Greg Slabaugh
M. Ganz;Xiaoyun Yang;G. Slabaugh
Z. W. Wang;Mengchu Zhou;G. G. Slabaugh;Jiefu Zhai
S M Masudur Rahman Al Arif;Karen Knapp;Greg Slabaugh
G. Unal;G. Slabaugh
Lin Liu;Lin Liu;Jianzhuang Liu;Shanxin Yuan;Gregory G. Slabaugh
Yu Liu;Sarah Parisot;Gregory G. Slabaugh;Xu Jia
G. Unal;A. Yezzi;S. Soatto;G. Slabaugh
G. Slabaugh;G. Unal;Tong Fang;M. Wels
Xujiong Ye;Gareth Beddoe;Greg Slabaugh
Bolun Zheng;Shanxin Yuan;Chenggang Yan;Xiang Tian
Atif Riaz;Muhammad Asad;S M Masudur Rahman Al Arif;Eduardo Alonso
Simiao Yu;Hao Dong;Guang Yang;Greg G. Slabaugh
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