Carolus Kusters

Eindhoven University of Technology

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Articles (13)

Collaborators (5)

Tim Jaspers

Eindhoven University of Technology

Thom Scheeve

Eindhoven University of Technology

Chris C.P. Snijders

Eindhoven University of Technology

Wouter B. Nagengast

University Medical Center Groningen

Fons van der Sommen

Eindhoven University of Technology

Carolus Kusters

Research Interests

Explore related searches

Contact this professor

Articles (13)

Collaborators (5)

Tim Jaspers

Thom Scheeve

Chris C.P. Snijders

Wouter B. Nagengast

Fons van der Sommen

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Carolus Kusters

Research Interests

Explore related searches

Contact this professor

Articles (13)

Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization

Designing a Computer-Aided Detection system for Barrett ’s neoplasia: Insights in architectural choices, training strategies and inference approaches

Challenges in Implementing Endoscopic Artificial Intelligence

The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy

Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems

Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency

Robustness evaluation of deep neural networks for endoscopic image analysis: Insights and strategies

The use of a real-time computer-aided detection system for visible lesions in the Barrett's esophagus during live endoscopic procedures

Artificial intelligence for characterization of diminutive colorectal polyps:

Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps

Computer-aided diagnosis improves characterization of Barrett's neoplasia by general endoscopists (with video)

A deep learning system for detection of early Barrett's neoplasia: a model development and validation study

Real-time classification of colorectal polyps using artificial intelligence – a prospective pilot study comparing two computer-aided diagnosis systems and one expert endoscopist

Collaborators (5)

Tim Jaspers

Thom Scheeve

Chris C.P. Snijders

Wouter B. Nagengast

Fons van der Sommen

How do I reach out?

Meet Kite AI