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ORCIDHugo J. Kuijf
- > Home > Persons > Hugo J. Kuijf
Publications
- 2024
[i19]Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler
, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024)- 2023
- [c23]Iris N. Vos, Ishaan Bhat, Birgitta K. Velthuis, Ynte M. Ruigrok, Hugo J. Kuijf:
Calibration techniques for node classification using graph neural networks on medical image data. MIDL 2023: 1211-1224 - [i18]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) - 2022
- [c19]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for Medical Image Segementation. UNSURE@MICCAI 2022: 113-124 - [i15]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) - [i14]Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf:
Generalized Probabilistic U-Net for medical image segementation. CoRR abs/2207.12872 (2022) - 2021
- [c15]Ishaan Bhat, Hugo J. Kuijf:
Extending Probabilistic U-Net Using MC-Dropout to Quantify Data and Model Uncertainty. BrainLes@MICCAI (2) 2021: 555-559 - [c14]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 - [i11]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)
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