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Josien Pluim
Josien Pluim
Professor of Medical Image Analysis, Eindhoven University of Technology / UMC Utrecht
Verified email at tue.nl
Title
Cited by
Year
Brain MR image simulation for deep learning based medical image analysis networks
A Ayaz, Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer
Computer Methods and Programs in Biomedicine 248, 108115, 2024
22024
Multi-head Attention-based Deep Multiple Instance Learning
H Keshvarikhojasteh, J Pluim, M Veta
arXiv preprint arXiv:2404.05362, 2024
2024
Multiple instance learning with random sampling for whole slide image classification
H Keshvarikhojasteh, JPW Pluim, M Veta
Medical Imaging 2024: Digital and Computational Pathology 12933, 372-376, 2024
2024
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
H Liu, H Yang, PJ van Diest, JPW Pluim, M Veta
arXiv preprint arXiv:2403.09257, 2024
22024
Multi-modal brain tumor segmentation via conditional synthesis with Fourier domain adaptation
Y Al Khalil, A Ayaz, C Lorenz, J Weese, J Pluim, M Breeuwer
Computerized Medical Imaging and Graphics 112, 102332, 2024
12024
Deep‐learning‐based joint rigid and deformable contour propagation for magnetic resonance imaging‐guided prostate radiotherapy
ID Kolenbrander, M Maspero, AA Hendriksen, R Pollitt, ...
Medical Physics, 2024
12024
Body composition and checkpoint inhibitor treatment outcomes in advanced melanoma: a multicenter cohort study
LS ter Maat, IAJ Van Duin, RJ Verheijden, P Moeskops, JJC Verhoeff, ...
medRxiv, 2024.03. 01.24303607, 2024
2024
Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T
SD Harrevelt, EFM Meliado, AL van Lier, D Reesink, RP Meijer, ...
NMR in Biomedicine 36 (12), e5019, 2023
12023
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset
Y Jiao, J van der Laak, S Albarqouni, Z Li, T Tan, A Bhalerao, S Cheng, ...
IEEE Journal of Biomedical and Health Informatics, 2023
42023
Histogram-and Diffusion-Based Medical Out-of-Distribution Detection
E Huijben, S Amirrajab, JPW Pluim
arXiv preprint arXiv:2310.08654, 2023
12023
1123P Baseline tumor-infiltrating lymphocytes and response to immune checkpoint inhibition in advanced melanoma
M Schuiveling, I van Duin, LS ter Maat, F Van den Berkmortel, ...
Annals of Oncology 34, S675, 2023
2023
Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques
C Cano, NM Rad, A Gholampour, M van Sambeek, J Pluim, R Lopata, ...
Photoacoustics 33, 100544, 2023
12023
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation
Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer
Computers in Biology and Medicine 161, 106973, 2023
112023
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
RB Den Boer, TJM Jaspers, C De Jongh, JPW Pluim, F Van Der Sommen, ...
Surgical Endoscopy 37 (7), 5164-5175, 2023
82023
Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs
S Amirrajab, Y Al Khalil, C Lorenz, J Weese, J Pluim, M Breeuwer
Machine Learning for Biomedical Imaging 2 (June 2023 issue), 288-311, 2023
2023
CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma
LS Ter Maat, IAJ van Duin, SG Elias, T Leiner, JJC Verhoeff, ERAN Arntz, ...
European Journal of Cancer 185, 167-177, 2023
12023
Effect of latent space distribution on the segmentation of images with multiple annotations
I Bhat, JPW Pluim, MA Viergever, HJ Kuijf
arXiv preprint arXiv:2304.13476, 2023
32023
The Importance of Realistic Training Deformations for Respiratory CT Registration
ID Kolenbrander, EMC Huijben, JNA Bergmans, KFM van Bussel, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
2023
Reconstruction of the corticospinal tract in patients with motor-eloquent high-grade gliomas using multilevel fiber tractography combined with functional motor cortex mapping
A Zhylka, N Sollmann, F Kofler, A Radwan, A De Luca, J Gempt, ...
American Journal of Neuroradiology 44 (3), 283-290, 2023
22023
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images
Y Al Khalil, S Amirrajab, C Lorenz, J Weese, J Pluim, M Breeuwer
Medical Image Analysis 84, 102688, 2023
292023
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