Misha P. T. Kaandorp

According to our database, Misha P. T. Kaandorp authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

NeuroImage, 2026

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, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra

Medical Image Anal., 2026

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, January, 2025

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

Enhancing Fetal Brain MRI Segmentation in Ventriculomegaly Using Generative AI-Augmented Pathological Data.

Misha P. T. Kaandorp, Damola Agbelese, Hosna Asma-ull, Kelly Payette, Hyun Gi Kim, András Jakab

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2025

2024

Deep Learning Diffusion Parameters from Magnetic Resonance Imaging An Odyssey of Deep Learning IVIM Parameter Estimation.

Misha P. T. Kaandorp

PhD thesis, 2024

2020

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