Pim Moeskops

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 23

Top Topics

Deformable Image Registration

Mr Brain Images

Supervised Classification

Top Venues

Medical Imaging: Image Processing

DLMIA/ML-CDS@MICCAI

Publications

João Fernandes, Victor Alves, Nadieh Khalili, Manon J. N. L. Benders, Ivana Isgum, Josien P. W. Pluim, Pim Moeskops
Convolutional Neural Network-Based Regression for Quantification of Brain Characteristics Using MRI. WorldCIST (2) (2019)
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
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38 (9) (2019)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a third spatial dimension from 2D histological images. ISBI (2018)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Inferring a Third Spatial Dimension from 2D Histological Images. CoRR (2018)
Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim
Deformable image registration using convolutional neural networks. Medical Imaging: Image Processing (2018)
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien P. W. Pluim
Exploring the similarity of medical imaging classification problems. CoRR (2017)
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum
Automatic segmentation of MR brain images with a convolutional neural network. CoRR (2017)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images. DLMIA/ML-CDS@MICCAI (2017)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities. CoRR (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI (2017)
Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta
Domain-adversarial neural networks to address the appearance variability of histopathology images. CoRR (2017)
Pim Moeskops, Josien P. W. Pluim
Isointense infant brain MRI segmentation with a dilated convolutional neural network. CoRR (2017)
Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim
Exploring the Similarity of Medical Imaging Classification Problems. CVII-STENT/LABELS@MICCAI (2017)
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
Adversarial training and dilated convolutions for brain MRI segmentation. CoRR (2017)
Nadieh Khalili, Pim Moeskops, Nathalie H. P. Claessens, S. Scherpenzeel, E. Turk, R. de Heus, Manon J. N. L. Benders, Max A. Viergever, Josien P. W. Pluim, Ivana Isgum
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR (2017)
Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim
Adversarial Training and Dilated Convolutions for Brain MRI Segmentation. DLMIA/ML-CDS@MICCAI (2017)
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
Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants. NeuroImage 142 (2016)
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum
Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. MICCAI (2) (2016)
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, Ivana Isgum
Automatic Segmentation of MR Brain Images With a Convolutional Neural Network. IEEE Trans. Medical Imaging 35 (5) (2016)
Hugo J. Kuijf, Pim Moeskops, Bob D. de Vos, Willem H. Bouvy, Jeroen de Bresser, Geert Jan Biessels, Max A. Viergever, Koen L. Vincken
Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities. Medical Imaging: Image Processing (2016)
Pim Moeskops, Manon J. N. L. Benders, Sabina M. Chita, Karina J. Kersbergen, Floris Groenendaal, Linda S. de Vries, Max A. Viergever, Ivana Isgum
Automatic segmentation of MR brain images of preterm infants using supervised classification. NeuroImage 118 (2015)
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
Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge. Medical Image Anal. 20 (1) (2015)
Pim Moeskops, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. Medical Imaging: Image Processing (2015)
Pim Moeskops, Manon J. N. L. Benders, Paul C. Pearlman, Karina J. Kersbergen, Alexander Leemans, Max A. Viergever, Ivana Isgum
Assessment of quantitative cortical biomarkers in the developing brain of preterm infants. Medical Imaging: Computer-Aided Diagnosis (2013)
Sabina M. Chita, Manon J. N. L. Benders, Pim Moeskops, Karina J. Kersbergen, Max A. Viergever, Ivana Isgum
Automatic segmentation of the preterm neonatal brain with MRI using supervised classification. Medical Imaging: Image Processing (2013)