Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients. - Misha P. T. Kaandorp; Sebastiano Barbieri; Remy Klaassen; Hanneke W. M. van Laarhoven; Hans Crezee; Peter T. While; Aart J. Nederveen; Oliver J. Gurney-Champion (CoRR, 2020)

Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation. - Misha P. T. Kaandorp (2024)

Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. - Misha P. T. Kaandorp; Frank Zijlstra; Davood Karimi; Ali Gholipour; Peter T. While (Medical Image Anal., 2025)

Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates. - Misha P. T. Kaandorp; Damola Agbelese; Hosna Asma-ull; Hyun Gi Kim; Kelly Payette; Patrice Grehten; Gennari Antonio Giulio; Levente István Lánczi; András Jakab (CoRR, 2025)

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg. - Ziyao Shang; Misha P. T. Kaandorp; Kelly Payette; Marina Fernandez Garcia; Roxane Licandro; Georg Langs; Jordina Aviles Verdera; Jana Hutter; Bjoern H. Menze; Gregor Kasprian; Meritxell Bach Cuadra; András Jakab (CoRR, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)