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Pim Moeskops
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Publications
- 2019
- [j5]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): 2219-2230 (2019) - [c12]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: 577-586 - 2018
- [c11]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: 586-589 - [c10]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: 105740S - [i8]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 abs/1801.03431 (2018) - 2017
- [c9]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:
Automatic Segmentation of the Intracranial Volume in Fetal MR Images. FIFI/OMIA@MICCAI 2017: 42-51 - [c8]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: 56-64 - [c7]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: 59-66 - [c6]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: 83-91 - [i5]Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dasht Bozorg, Josien P. W. Pluim:
Exploring the similarity of medical imaging classification problems. CoRR abs/1706.03509 (2017) - [i4]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 abs/1707.03195 (2017) - [i3]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 abs/1707.06183 (2017) - [i2]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:
Automatic segmentation of the intracranialvolume in fetal MR images. CoRR abs/1708.02282 (2017) - [i1]Pim Moeskops, Josien P. W. Pluim:
Isointense infant brain MRI segmentation with a dilated convolutional neural network. CoRR abs/1708.02757 (2017)
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