Articles with public access mandates - Hongwei Bran LiLearn more
Not available anywhere: 4
Improving automated glioma segmentation in routine clinical use through artificial intelligence-based replacement of missing sequences with synthetic magnetic resonance imaging …
MF Thomas, F Kofler, L Grundl, T Finck, H Li, C Zimmer, B Menze, ...
Investigative Radiology, 2022
Mandates: German Research Foundation
Machine learning may predict individual hand motor activation from resting-state fMRI in patients with brain tumors in perirolandic cortex
C Niu, Y Wang, AD Cohen, X Liu, H Li, P Lin, Z Chen, Z Min, W Li, X Ling, ...
European Radiology 31, 5253-5262, 2021
Mandates: National Natural Science Foundation of China
Longitudinal assessment of multiple sclerosis lesion load with synthetic magnetic resonance imaging—a multicenter validation study
S Schlaeger, HB Li, T Baum, C Zimmer, J Moosbauer, S Byas, M Mühlau, ...
Investigative Radiology 58 (5), 320-326, 2023
Mandates: German Research Foundation
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty
H Li, S Gopal, A Sekuboyina, J Zhang, C Niu, C Pirkl, J Kirschke, ...
MICCAI-UNSURE, 44-53, 2021
Mandates: German Research Foundation
Available somewhere: 55
The liver tumor segmentation benchmark (LiTS)
P Bilic*, P Christ*, HB Li*, E Vorontsov, A Ben-Cohen, G Kaissis, ...
Medical Image Analysis, 2022
Mandates: US National Institutes of Health, Fonds de recherche du Québec - Santé …
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging, 2021
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE Transactions on Medical Imaging, 2019
Mandates: Swiss National Science Foundation, US National Institutes of Health …
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical Image Analysis, 2021
Mandates: US National Institutes of Health, European Commission, Federal Ministry of …
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images
H Li, G Jiang, J Zhang, R Wang, Z Wang, WS Zheng, B Menze
NeuroImage, 2018
Mandates: National Natural Science Foundation of China
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature Communications, 2022
Mandates: US National Science Foundation, Fundação de Amparo à Pesquisa do Estado de …
Knowledge-aided convolutional neural network for small organ segmentation
Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze
IEEE journal of biomedical and health informatics, 2019
Mandates: German Research Foundation
Automated whole-body bone lesion detection for multiple myeloma on 68Ga-pentixafor PET/CT imaging using deep learning methods
L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ...
Contrast media & molecular imaging, 2018
Mandates: German Research Foundation
DiamondGAN: unified multi-modal generative adversarial networks for MRI sequences synthesis
H Li, JC Paetzold, A Sekuboyina, F Kofler, J Zhang, JS Kirschke, ...
MICCAI'2019, 2019
Mandates: German Research Foundation
Deep learning-enabled multi-organ segmentation in whole-body mouse scans
O Schoppe, C Pan, J Coronel, H Mai, Z Rong, MI Todorov, A Müskes, ...
Nature Communications, 2020
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge
X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ...
Medical Image Analysis, 2022
Mandates: National Natural Science Foundation of China
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge
KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ...
Neuroimage 238, 118216, 2021
Mandates: National Natural Science Foundation of China, German Research Foundation …
Relationformer:a unified framework for image-to-graph generation
S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ...
ECCV'2022, 2022
Mandates: European Commission, Federal Ministry of Education and Research, Germany
The brain tumor segmentation (brats) challenge 2023: glioma segmentation in sub-saharan Africa patient population (brats-africa)
M Adewole, JD Rudie, A Gbdamosi, O Toyobo, C Raymond, D Zhang, ...
ArXiv, 2023
Mandates: US National Institutes of Health
Red-GAN: attacking class imbalance via conditioned generation. Yet another medical imaging perspective
AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
MIDL'2020, 2020
Mandates: German Research Foundation, European Commission
Deep-learning generated synthetic double inversion recovery images improve multiple sclerosis lesion detection
T Finck*, H Li*, L Grundl, P Eichinger, M Bussas, M Mühlau, B Menze, ...
Investigative Radiology, 2020
Mandates: German Research Foundation
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