Pim Moeskops

According to our database, Pim Moeskops authored at least 19 papers between 2013 and 2019.

Collaborative distances:

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

2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI.

João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops

Proceedings of the New Knowledge in Information Systems and Technologies, 2019

2018

Deformable image registration using convolutional neural networks.

Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Inferring a third spatial dimension from 2D histological images.

Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Isointense infant brain MRI segmentation with a dilated convolutional neural network.

Pim Moeskops, Josien P. W. Pluim

CoRR, 2017

Automatic segmentation of the intracranialvolume in fetal MR images.

Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum

CoRR, 2017

Adversarial Training and Dilated Convolutions for Brain MRI Segmentation.

Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images.

Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Automatic Segmentation of the Intracranial Volume in Fetal MR Images.

Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, Elise Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Exploring the Similarity of Medical Imaging Classification Problems.

Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2016

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.

Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum

IEEE Trans. Medical Imaging, 2016

Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants.

Karina J. Kersbergen, François Leroy, Ivana Isgum, Floris Groenendaal, Linda S. de Vries, Nathalie H. P. Claessens, Ingrid C. van Haastert, Pim Moeskops, Clara Fischer, Jean-François Mangin, Max A. Viergever, Jessica Dubois, Manon J. N. L. Benders

NeuroImage, 2016

Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.

Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities.

Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Automatic segmentation of MR brain images of preterm infants using supervised classification.

Pim Moeskops, Manon J. N. L. Benders, Sabina M. Chita, Karina J. Kersbergen, Floris Groenendaal, Linda S. de Vries, Max A. Viergever, Ivana Isgum

NeuroImage, 2015

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.

Ivana Isgum, Manon J. N. L. Benders, Brian B. Avants, Manuel Jorge Cardoso, Serena J. Counsell, Elda Fischi Gomez, Laura Gui, Petra S. Hüppi, Karina J. Kersbergen, Antonios Makropoulos, Andrew Melbourne, Pim Moeskops, Christian P. Mol, Maria Kuklisova-Murgasova, Daniel Rueckert, Julia A. Schnabel, Vedran Srhoj-Egekher, Jue Wu, Siying Wang, Linda S. de Vries, Max A. Viergever

Medical Image Anal., 2015

Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images.

Pim Moeskops, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2013

Automatic segmentation of the preterm neonatal brain with MRI using supervised classification.

Sabina M. Chita, Manon J. N. L. Benders, Pim Moeskops, Karina J. Kersbergen, Max A. Viergever, Ivana Isgum

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Assessment of quantitative cortical biomarkers in the developing brain of preterm infants.

Pim Moeskops, Manon J. N. L. Benders, Paul C. Pearlman, Karina J. Kersbergen, Alexander Leemans, Max A. Viergever, Ivana Isgum

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013