Henkjan Huisman

Radboud University Medical Center

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Articles (17)

Collaborators (11)

Harry van Goor

Radboud University Medical Center

Constant Richard Noordman

Radboud University Medical Center

Pedersen Bodil Ginnerup

Aarhus University

Mattijs Elschot

Associate Professor (10%)

Norwegian University of Science and Technology

Caroline M Moore

University College London

UNITED KINGDOM

John J. Hermans

Radboud University Medical Center

Stefan J Fransen

University Medical Center Groningen

Richard P. G. ten Broek

Radboud University Medical Center

M. Minhaj Siddiqui

University of Maryland Medical Center

UNITED STATES

Megan Schuurmans

Radboud University Medical Center

Colin Jacobs

Assistant Professor

Henkjan Huisman

Research Interests

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Articles (17)

Collaborators (11)

Harry van Goor

Constant Richard Noordman

Pedersen Bodil Ginnerup

Mattijs Elschot

Caroline M Moore

John J. Hermans

Stefan J Fransen

Richard P. G. ten Broek

M. Minhaj Siddiqui

Megan Schuurmans

Colin Jacobs

How do I reach out?

Meet Kite AI

Henkjan Huisman

Research Interests

Explore related searches

Contact this professor

Articles (17)

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0

Development and Validation of a Deep Learning Model Based on MRI and Clinical Characteristics to Predict Risk of Prostate Cancer Progression

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI)

Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma

Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics

Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection

Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI

Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions

Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging

Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge

Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review

Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI

Collaborators (11)

Harry van Goor

Constant Richard Noordman

Pedersen Bodil Ginnerup

Mattijs Elschot

Caroline M Moore

John J. Hermans

Stefan J Fransen

Richard P. G. ten Broek

M. Minhaj Siddiqui

Megan Schuurmans

Colin Jacobs

How do I reach out?

Meet Kite AI