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2020 – today
- 2024
[j49]Yasmina Al Khalil
, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation. Comput. Medical Imaging Graph. 112: 102332 (2024)- [j48]Aymen Ayaz, Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Brain MR image simulation for deep learning based medical image analysis networks. Comput. Methods Programs Biomed. 248: 108115 (2024) - [j47]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - [c91]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single Vs. Multi-task Learning. FAIMI/EPIMI@MICCAI 2024: 14-23 - [c90]Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell:
Self-Supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. DEMI@MICCAI 2024: 115-124 - [c89]Iris Kolenbrander, Vidya Prasad, Leanne Zikken, Maureen A. J. M. van Eijnatten, Matteo Maspero, Josien P. W. Pluim:
Assessing the Robustness of Image Registration Models Under Domain Shifts with Learnable Input Images. WBIR 2024: 101-111 - [i45]Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta:
Multiple Instance Learning with random sampling for Whole Slide Image Classification. CoRR abs/2403.05351 (2024) - [i44]Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta:
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. CoRR abs/2403.09257 (2024) - [i43]Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta:
Multi-head Attention-based Deep Multiple Instance Learning. CoRR abs/2404.05362 (2024) - [i42]Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gokhan Ertaylan, Michel Dumontier:
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. CoRR abs/2407.00116 (2024) - [i41]Ralf Raumanns, Gerard Schouten, Josien P. W. Pluim, Veronika Cheplygina:
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning. CoRR abs/2407.17543 (2024) - [i40]Rob A. J. de Mooij, Josien P. W. Pluim, Cian M. Scannell:
Self-supervised Pretraining for Cardiovascular Magnetic Resonance Cine Segmentation. CoRR abs/2409.18100 (2024) - 2023
- [j46]Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation. Comput. Biol. Medicine 161: 106973 (2023) - [j45]Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. Medical Image Anal. 84: 102688 (2023) - [j44]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast. IEEE Trans. Medical Imaging 42(3): 726-738 (2023) - [c88]Iris Kolenbrander, Evi M. C. Huijben, Johanna N. A. Bergmans, Kim F. M. van Bussel, Josien P. W. Pluim, Maureen A. J. M. van Eijnatten:
The Importance of Realistic Training Deformations for Respiratory CT Registration. ISBI 2023: 1-5 - [i39]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - [i38]Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf:
Effect of latent space distribution on the segmentation of images with multiple annotations. CoRR abs/2304.13476 (2023) - [i37]Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim:
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection. CoRR abs/2310.08654 (2023) - 2022
- [j43]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks. Comput. Medical Imaging Graph. 101: 102123 (2022) - [j42]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [c87]Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs. SASHIMI@MICCAI 2022: 34-42 - [c86]Clément Chadebec, Evi M. C. Huijben, Josien P. W. Pluim, Stéphanie Allassonnière, Maureen A. J. M. van Eijnatten:
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories. DGM4MICCAI@MICCAI 2022: 55-64 - [c85]Yasmina Al Khalil, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data. DALI@MICCAI 2022: 92-101 - [c84]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI 2022: 113-124 - [c83]Sina Amirrajab, Yasmina Al Khalil, Josien P. W. Pluim, Marcel Breeuwer, Cian M. Scannell:
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. STACOM@MICCAI 2022: 466-475 - [i36]Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack:
PROMISSING: Pruning Missing Values in Neural Networks. CoRR abs/2206.01640 (2022) - [i35]Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever, Hugo J. Kuijf:
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection. CoRR abs/2206.10911 (2022) - [i34]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for medical image segementation. CoRR abs/2207.12872 (2022) - [i33]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs. CoRR abs/2208.04874 (2022) - [i32]Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs. CoRR abs/2209.04223 (2022) - 2021
- [j41]Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta:
Roto-translation equivariant convolutional networks: Application to histopathology image analysis. Medical Image Anal. 68: 101849 (2021) - [j40]Gerda Bortsova, Cristina González-Gonzalo, Suzanne C. Wetstein, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bart Liefers, Bram van Ginneken, Josien P. W. Pluim, Mitko Veta, Clara I. Sánchez, Marleen de Bruijne:
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors. Medical Image Anal. 73: 102141 (2021) - [j39]Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata:
Advanced Ultrasound and Photoacoustic Imaging in Cardiology. Sensors 21(23): 7947 (2021) - [j38]Coen de Vente, Pieter Vos, Matin Hosseinzadeh, Josien P. W. Pluim, Mitko Veta:
Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI. IEEE Trans. Biomed. Eng. 68(2): 374-383 (2021) - [c82]Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze:
clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. CVPR 2021: 16560-16569 - [c81]Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad:
Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. EUSIPCO 2021: 1246-1250 - [c80]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using Uncertainty Estimation To Reduce False Positives In Liver Lesion Detection. ISBI 2021: 663-667 - [c79]Bram M. van der Velden, Mitko Veta, Josien P. W. Pluim, Mark Alberti, Friso G. Heslinga:
Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. OMIA@MICCAI 2021: 72-81 - [c78]Yasmina Al Khalil, Sina Amirrajab, Josien P. W. Pluim, Marcel Breeuwer:
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. STACOM@MICCAI 2021: 360-373 - [i31]Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina, Josien P. W. Pluim:
Using uncertainty estimation to reduce false positives in liver lesion detection. CoRR abs/2101.04386 (2021) - [i30]Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg, Luuk van der Hoek, Josien P. W. Pluim, Javier Cabrerizo, Mark Alberti, Mitko Veta:
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. CoRR abs/2102.07846 (2021) - [i29]Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad:
Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images. CoRR abs/2106.00373 (2021) - [i28]Ralf Raumanns, Gerard Schouten, Max Joosten, Josien P. W. Pluim, Veronika Cheplygina:
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification. CoRR abs/2107.12734 (2021) - 2020
- [j37]Koen A. J. Eppenhof, Maxime W. Lafarge, Mitko Veta, Josien P. W. Pluim:
Progressively Trained Convolutional Neural Networks for Deformable Image Registration. IEEE Trans. Medical Imaging 39(5): 1594-1604 (2020) - [c77]Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta:
Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. ISBI 2020: 263-266 - [c76]Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta:
Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. Computer-Aided Diagnosis 2020 - [c75]Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. MICCAI (4) 2020: 128-137 - [c74]Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. MIDL 2020: 6-18 - [i27]Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. CoRR abs/2002.07089 (2020) - [i26]Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Mitko Veta:
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. CoRR abs/2002.08725 (2020) - [i25]Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Andrey Zhylka, Ivan Ezhov, Alexander Unger, Josien P. W. Pluim, Giles Tetteh, Bjoern H. Menze:
clDice - a Topology-Preserving Loss Function for Tubular Structure Segmentation. CoRR abs/2003.07311 (2020) - [i24]Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Veta:
Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. CoRR abs/2004.12807 (2020) - [i23]Suzanne C. Wetstein, Cristina González-Gonzalo, Gerda Bortsova, Bart Liefers, Florian Dubost, Ioannis Katramados, Laurens Hogeweg, Bram van Ginneken, Josien P. W. Pluim, Marleen de Bruijne, Clara I. Sánchez, Mitko Veta:
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors. CoRR abs/2006.06356 (2020) - [i22]Linde S. Hesse, Pim A. de Jong, Josien P. W. Pluim, Veronika Cheplygina:
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning. CoRR abs/2006.16633 (2020) - [i21]Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. CoRR abs/2007.13408 (2020) - [i20]Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta:
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology. CoRR abs/2008.11673 (2020) - [i19]Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta:
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. CoRR abs/2010.03244 (2020)
2010 – 2019
- 2019
- [j36]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54: 111-121 (2019) - [j35]Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim:
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. Medical Image Anal. 54: 280-296 (2019) - [j34]Koen A. J. Eppenhof, Josien P. W. Pluim:
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. IEEE Trans. Medical Imaging 38(5): 1097-1105 (2019) - [j33]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) - [c73]Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter, Josien P. W. Pluim, Shantanu Singh, Mitko Veta:
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning. MIDL 2019: 315-325 - [c72]Suzanne C. Wetstein, Allison M. Onken, Gabrielle M. Baker, Michael E. Pyle, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta:
Detection of acini in histopathology slides: towards automated prediction of breast cancer risk. Digital Pathology 2019: 109560Q - [c71]Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim:
Progressively growing convolutional networks for end-to-end deformable image registration. Image Processing 2019: 109491C - [c70]Friso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta:
Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. Image Processing 2019: 109491N - [c69]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. Image Processing 2019: 109491V - [c68]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 - [i18]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. CoRR abs/1908.08251 (2019) - [i17]Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim:
Motion correction of dynamic contrast enhanced MRI of the liver. CoRR abs/1908.08254 (2019) - [i16]Mariëlle J. A. Jansen, Hugo J. Kuijf, Maarten Niekel, Wouter B. Veldhuis, Frank J. Wessels, Max A. Viergever, Josien P. W. Pluim:
Liver segmentation and metastases detection in MR images using convolutional neural networks. CoRR abs/1910.06635 (2019) - [i15]Suzanne C. Wetstein, Allison M. Onken, Christina Luffman, Gabrielle M. Baker, Michael E. Pyle, Kevin H. Kensler, Ying Liu, Bart Bakker, Ruud Vlutters, Marinus B. van Leeuwen, Laura C. Collins, Stuart J. Schnitt, Josien P. W. Pluim, Rulla M. Tamimi, Yujing J. Heng, Mitko Veta:
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. CoRR abs/1911.00036 (2019) - [i14]Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben, Miranda T. Schram, Ronald M. A. Henry, Coen D. A. Stehouwer, Marleen J. van Greevenbroek, Tos T. J. M. Berendschot, Mitko Veta:
Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study. CoRR abs/1911.10022 (2019) - 2018
- [j32]Jiong Zhang, Erik J. Bekkers, Da Chen, Tos T. J. M. Berendschot, Jan Schouten, Josien P. W. Pluim, Yonggang Shi, Behdad Dashtbozorg, Bart M. ter Haar Romeny:
Reconnection of Interrupted Curvilinear Structures via Cortically Inspired Completion for Ophthalmologic Images. IEEE Trans. Biomed. Eng. 65(5): 1151-1165 (2018) - [c67]Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim:
Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study. ISBI 2018: 245-248 - [c66]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 - [c65]Veronika Cheplygina, Josien P. W. Pluim:
Crowd Disagreement About Medical Images Is Informative. CVII-STENT/LABELS@MICCAI 2018: 105-111 - [c64]Coen de Vente, Mitko Veta, Orod Razeghi, Steven A. Niederer, Josien P. W. Pluim, Kawal S. Rhode, Rashed Karim:
Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images. STACOM@MICCAI 2018: 348-356 - [c63]Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits:
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. MICCAI (1) 2018: 440-448 - [c62]Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim:
Deformable image registration using convolutional neural networks. Image Processing 2018: 105740S - [i13]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) - [i12]Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits:
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. CoRR abs/1804.03393 (2018) - [i11]Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim:
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. CoRR abs/1804.06353 (2018) - [i10]Veronika Cheplygina, Josien P. W. Pluim:
Crowd disagreement of medical images is informative. CoRR abs/1806.08174 (2018) - [i9]Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - 2017
- [j31]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]Koen A. J. Eppenhof, Josien P. W. Pluim:
Supervised local error estimation for nonlinear image registration using convolutional neural networks. Image Processing 2017: 101331U - [c56]Mariëlle J. A. Jansen, Wouter B. Veldhuis, Maarten S. van Leeuwen, Josien P. W. Pluim:
Motion correction of dynamic contrast enhanced MRI of the liver. Image Processing 2017: 101331T - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Pim Moeskops, Josien P. W. Pluim:
Isointense infant brain MRI segmentation with a dilated convolutional neural network. CoRR abs/1708.02757 (2017) - 2016
- [j30]Max A. Viergever, J. B. Antoine Maintz, Stefan Klein, Keelin Murphy, Marius Staring, Josien P. W. Pluim:
A survey of medical image registration - under review. Medical Image Anal. 33: 140-144 (2016) - [j29]Jiong Zhang, Behdad Dashtbozorg, Erik J. Bekkers, Josien P. W. Pluim, Remco Duits, Bart M. ter Haar Romeny:
Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores. IEEE Trans. Medical Imaging 35(12): 2631-2644 (2016) - [c55]Josien P. W. Pluim, Sascha E. A. Muenzing, Koen A. J. Eppenhof, Keelin Murphy:
The truth is hard to make: Validation of medical image registration. ICPR 2016: 2294-2300 - [c54]Mitko Veta, Paul J. van Diest, Josien P. W. Pluim:
Cutting Out the Middleman: Measuring Nuclear Area in Histopathology Slides Without Segmentation. MICCAI (2) 2016: 632-639 - [i3]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016) - [i2]Mitko Veta, Paul J. van Diest, Josien P. W. Pluim:
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. CoRR abs/1606.06127 (2016) - 2015
- [j28]Thomas R. Langerak, Uulke A. van der Heide, Alexis N. T. J. Kotte, Floris F. Berendsen, Josien P. W. Pluim:
Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation. Comput. Vis. Image Underst. 130: 71-79 (2015) - [j27]