Hongwei Li (李宏伟)
Hongwei Li (李宏伟)
Techinical University of Munich / University of Zurich
Verified email at tum.de - Homepage
Cited by
Cited by
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
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 183, 650-665, 2018
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 38 (11), 2556-2568, 2019
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 23 (4), 1363-1373, 2019
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, 2018
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, 795-803, 2019
HEp-2 specimen classification via deep CNNs and pattern histogram
H Li, H Huang, WS Zheng, X Xie, J Zhang
2016 23rd International Conference on Pattern Recognition (ICPR), 2145-2149, 2016
Differential diagnosis for pancreatic cysts in ct scans using densely-connected convolutional networks
H Li, M Reichert, K Lin, N Tselousov, R Braren, D Fu, R Schmid, J Li, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
Automatic brain structures segmentation using deep residual dilated u-net
H Li, A Zhygallo, B Menze
International MICCAI Brainlesion Workshop, 385-393, 2018
Multi-scale convolutional-stack aggregation for robust white matter hyperintensities segmentation
H Li, J Zhang, M Muehlau, J Kirschke, B Menze
International MICCAI Brainlesion Workshop, 199-207, 2018
VerSe: A Vertebrae Labelling and Segmentation Benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv preprint arXiv:2001.09193, 2020
Deep CNNs for HEp-2 cells classification: A cross-specimen analysis
H Li, WS Zheng, J Zhang
arXiv preprint arXiv:1604.05816, 2016
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images
J Ma, X Li, H Li, BH Menze, S Liang, R Zhang, WS Zheng
MIDL 2019, 2018
HEp-2 cells staining patterns classification via wavelet scattering network and random forest
BH Li, J Zhang, WS Zheng
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 406-410, 2015
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, ...
arXiv preprint arXiv:2006.12434, 2020
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation
J Chen, H Li, J Zhang, B Menze
International Workshop on Statistical Atlases and Computational Models of …, 2019
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function
X Hu, H Li, Y Zhao, C Dong, BH Menze, M Piraud
International MICCAI Brainlesion Workshop, 116-127, 2018
Limited one-time sampling irregularity map (lots-im) for automatic unsupervised assessment of white matter hyperintensities and multiple sclerosis lesions in structural brain …
MF Rachmadi, MC Valdés-Hernández, H Li, R Guerrero, R Meijboom, ...
Computerized Medical Imaging and Graphics 79, 101685, 2020
Cross-view Relation Networks for Mammogram Mass Detection
J Ma, S Liang, X Li, H Li, BH Menze, R Zhang, WS Zheng
arXiv preprint arXiv:1907.00528, 2019
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