Christopher M. Bishop is affiliated with Microsoft in the United States. Their research primarily focuses on the intersection of medicine and imaging technologies, with particular attention to radiology, nuclear medicine, and radiation.
Their work explores several main topics, including:
Their recent publications reflect this focus. These include the 2020 paper titled Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers, published in JAMA Network Open, which addresses the application of deep learning techniques in medical imaging and radiotherapy.
In 2025, they co-authored Accurate and scalable exchange-correlation with deep learning, featured on arXiv (Cornell University), which contributes to the field of scalable machine learning methods.
Frequent collaborators in their research include:
These collaborations align with the interdisciplinary nature of their research, combining expertise from machine learning, medical imaging, and radiation therapy.
Their most common publication venues are:
Their academic output and research interests position them within the broader field of Medicine, with detailed focus areas including Radiology, Nuclear Medicine and Imaging, and Radiation.
Christopher M. Bishop
Christopher M. Bishop
Michael E. Tipping;Christopher M. Bishop
Michael E. Tipping;Christopher M. Bishop
Christopher M. Bishop;Markus Svensén;Christopher K. I. Williams
Chris M. Bishop
Christopher M. Bishop
Wolfgang Maass;Christopher M. Bishop
Christopher M. Bishop
John Winn;Christopher M. Bishop
Christopher M. Bishop
Chris M. Bishop;CM Bishop;C Bishop;V. A. Bishop
Mark Everingham;Andrew Zisserman;Christopher K. I. Williams;Luc Van Gool
Angela Simpson;Vincent Y. F. Tan;John Winn;Markus Svensén
Adrian Corduneanu;Christopher M. Bishop
Chris Bishop
J.A. Lasserre;C.M. Bishop;T.P. Minka
Christopher M. Bishop;Michael E. Tipping
Michael E. Tipping;Christopher M. Bishop
Christopher M. Bishop
Iain Buchan;John Winn;Christopher Bishop
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