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ORCIDHongwei Li 0004
Bran Hongwei Li
Person information
- affiliation: Technical University of Munich, Department of Informatics, Germany
- affiliation (former): University of Dundee, UK
- affiliation (former): Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China
Other persons with the same name
- Hongwei Li — disambiguation page
- Hongwei Li 0001
![[0000-0002-1961-7946]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1961-7946")
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China (and 2 more) - Hongwei Li 0002 — University of Chinese Academy of Sciences, Beijing, China
- Hongwei Li 0003 — China University of Geosciences, Hubei Subsurface Multi-scale Imaging Key Laboratory, Wuhan, China (and 2 more)
- Hongwei Li 0005 — Xinjiang University, Ürümqi, China
- Hongwei Li 0006 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 2 more)
- Hongwei Li 0007 — Southwest Petroleum University, School of Electrical Engineering and Information, Chengdu, China
- Hongwei Li 0008 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, Lanzhou, China
- Hongwei Li 0009 — Zhengzhou University, School of Geo-Science and Technology, Zhengzhou, China
- Hongwei Li 0010 — Shandong Normal University, School of Mathematics and Statistics, Jinan, China
- Hongwei Li 0011 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Hongwei Li 0012 — Beijing University of Chemical Technology, Beijing, China
- Hongwei Li 0013 — Hohai University, College of Civil and Transportation Engineering, Nanjing, China
- Hongwei Li 0014 — Shandong University, School of Electrical Engineering, Jinan, China
- Hongwei Li 0015 — Xiamen University, Department of Automation, Xiamen, China
- Hongwei Li 0016 — Henan Finance University, School of Mathematics and Statistics, Zhengzhou, China
- Hongwei Li 0017 — Jiangxi Normal University, School of Computer Information Engineering, Nanchang, China (and 1 more)
- Hongwei Li 0018 — Shanxi University, School of Mathematical Sciences, Taiyuan, China
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2020 – today
- 2023
[j12]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- 2022
- [j11]Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Mauro Costagli, Guido Buonincontri, Michela Tosetti, Marion I. Menzel, Bjoern H. Menze:
Learning residual motion correction for fast and robust 3D multiparametric MRI. Medical Image Anal. 77: 102387 (2022) - [j10]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j9]Ivan Ezhov, Tudor Mot, Suprosanna Shit, Jana Lipková, Johannes C. Paetzold, Florian Kofler, Chantal Pellegrini, Marcel Kollovieh, Fernando Navarro, Hongwei Li, Marie Metz, Benedikt Wiestler, Bjoern H. Menze:
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans. Medical Imaging 41(5): 1269-1278 (2022) - [c26]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) 2022: 422-439 - [c25]Qingqiao Hu, Hongwei Li, Jianguo Zhang:
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. MICCAI (6) 2022: 495-504 - [c24]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang:
What Makes for Automatic Reconstruction of Pulmonary Segments. MICCAI (1) 2022: 495-505 - [c23]Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertürk, Bjoern H. Menze:
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. WACV 2022: 3230-3240 - [i29]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR abs/2203.10202 (2022) - [i28]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i27]Florian Kofler, Suprosanna Shit, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Rami Al-Maskari, Hongwei Li, Harsharan Bhatia, Timo Loehr, Marie Piraud, Ali Ertürk, Jan Kirschke, Jan Peeken, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
blob loss: instance imbalance aware loss functions for semantic segmentation. CoRR abs/2205.08209 (2022) - [i26]Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze:
Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. CoRR abs/2205.10355 (2022) - [i25]Qingqiao Hu, Hongwei Li, Jianguo Zhang:
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach. CoRR abs/2207.00844 (2022) - [i24]Kaiming Kuang, Li Zhang, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang:
What Makes for Automatic Reconstruction of Pulmonary Segments. CoRR abs/2207.03078 (2022) - 2021
- [j8]Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke:
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. 73: 102166 (2021) - [j7]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [j6]Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir:
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. IEEE Trans. Medical Imaging 40(12): 3543-3554 (2021) - [c22]Hongwei Li, Rameshwara G. N. Prasad, Anjany Sekuboyina, Chen Niu, Siwei Bai, Werner Hemmert, Bjoern H. Menze:
Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference. ISBI 2021: 1500-1504 - [c21]Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Luo, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations. MICCAI (2) 2021: 36-46 - [c20]Hongwei Li, Sunita Gopal, Anjany Sekuboyina, Jianguo Zhang, Chen Niu, Carolin M. Pirkl, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty. UNSURE/PIPPI@MICCAI 2021: 44-53 - [c19]Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Amirhossein Bayat, Yu Zhao, Bjoern H. Menze:
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features. MIDL 2021: 327-337 - [c18]Carolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello, Michela Tosetti, Mauro Costagli, Guido Buonincontri, Marion I. Menzel, Bjoern H. Menze:
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping. MIDL 2021: 618-632 - [i23]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. CoRR abs/2101.01513 (2021) - [i22]Hongwei Li, Fei-Fei Xue, Krishna Chaitanya, Shengda Liu, Ivan Ezhov, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations. CoRR abs/2103.04167 (2021) - [i21]Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes C. Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna P. Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze:
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. CoRR abs/2103.06205 (2021) - [i20]Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze:
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy. CoRR abs/2104.10993 (2021) - 2020
- [j5]Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Hongwei Li, Ricardo Guerrero, Rozanna Meijboom, Stewart Wiseman, Adam Waldman, Jianguo Zhang, Daniel Rueckert, Joanna M. Wardlaw, Taku Komura:
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images. Comput. Medical Imaging Graph. 79: 101685 (2020) - [j4]Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze:
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE J. Biomed. Health Informatics 24(9): 2599-2608 (2020) - [c17]Jiechao Ma, Xiang Li, Hongwei Li, Ruixuan Wang, Bjoern H. Menze, Wei-Shi Zheng:
Cross-View Relation Networks for Mammogram Mass Detection. ICPR 2020: 8632-8638 - [c16]Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang:
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. MICCAI (4) 2020: 187-196 - [c15]Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 297-304 - [c14]Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze:
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. MIDL 2020: 655-668 - [i19]Hongwei Li, Timo Loehr, Benedikt Wiestler, Jianguo Zhang, Bjoern H. Menze:
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation. CoRR abs/2001.09313 (2020) - [i18]Ahmad B. Qasim, Ivan Ezhov, Suprosanna Shit, Oliver Schoppe, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jana Lipková, Hongwei Li, Bjoern H. Menze:
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective. CoRR abs/2004.10734 (2020) - [i17]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i16]Xiaobin Hu, Yanyang Yan, Wenqi Ren, Hongwei Li, Yu Zhao, Amirhossein Bayat, Bjoern H. Menze:
Feedback Graph Attention Convolutional Network for Medical Image Enhancement. CoRR abs/2006.13863 (2020) - [i15]Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation. CoRR abs/2008.01216 (2020) - [i14]Hongwei Li, Aurore Menegaux, Felix J. B. Bäuerlein, Suprosanna Shit, Benita Schmitz-Koep, Christian Sorg, Bjoern H. Menze, Dennis M. Hedderich:
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum. CoRR abs/2008.03465 (2020) - [i13]Hongwei Li, Rameshwara G. N. Prasad, Anjany Sekuboyina, Chen Niu, Siwei Bai, Werner Hemmert, Björn H. Menze:
Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks. CoRR abs/2010.14105 (2020)
2010 – 2019
- 2019
- [j3]Yu Zhao, Hongwei Li, Shaohua Wan, Anjany Sekuboyina, Xiaobin Hu, Giles Tetteh, Marie Piraud, Bjoern H. Menze:
Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation. IEEE J. Biomed. Health Informatics 23(4): 1363-1373 (2019) - [j2]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c13]Hongwei Li, Maximilian Reichert, Kanru Lin, Nikita Tselousov, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern H. Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. EMBC 2019: 2095-2098 - [c12]Yu Zhao, Ping Wu, Jian Wang, Hongwei Li, Nassir Navab, Igor Yakushev, Wolfgang Weber, Markus Schwaiger, Sung-Cheng Huang, Paul Cumming, Axel Rominger, Chuantao Zuo, Kuangyu Shi:
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on 18F-FDG PET Images. EMBC 2019: 3531-3534 - [c11]Yu Zhao, Yuan Liu, Yansheng Kan, Anjany Sekuboyina, Diana Waldmannstetter, Hongwei Li, Xiaobin Hu, Xiaozhi Zhao, Kuangyu Shi, Bjoern H. Menze:
Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification. MICCAI (6) 2019: 22-30 - [c10]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation. STACOM@MICCAI 2019: 317-325 - [c9]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis. MICCAI (4) 2019: 795-803 - [c8]Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng:
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. MIDL 2019: 358-369 - [i12]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i11]Hongwei Li, Johannes C. Paetzold, Anjany Sekuboyina, Florian Kofler, Jianguo Zhang, Jan S. Kirschke, Benedikt Wiestler, Bjoern H. Menze:
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis. CoRR abs/1904.12894 (2019) - [i10]Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H. Menze, Rongguo Zhang, Wei-Shi Zheng:
Cross-view Relation Networks for Mammogram Mass Detection. CoRR abs/1907.00528 (2019) - [i9]Jingkun Chen, Hongwei Li, Jianguo Zhang, Bjoern H. Menze:
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation. CoRR abs/1908.09298 (2019) - [i8]Xiang Li, Jiechao Ma, Hongwei Li:
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks. CoRR abs/1909.09837 (2019) - 2018
- [j1]Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage 183: 650-665 (2018) - [c7]Yu Zhao, Hongwei Li, Rong Zhou, Giles Tetteh, Marc Niethammer, Bjoern H. Menze:
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis. ICPR 2018: 3880-3885 - [c6]Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Bjoern H. Menze, Marie Piraud:
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function. BrainLes@MICCAI (2) 2018: 116-127 - [c5]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. BrainLes@MICCAI (1) 2018: 199-207 - [c4]Hongwei Li, Andrii Zhygallo, Bjoern H. Menze:
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. BrainLes@MICCAI (1) 2018: 385-393 - [i7]Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze:
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. CoRR abs/1802.05203 (2018) - [i6]Hongwei Li, Kanru Lin, Maximilian Reichert, Lina Xu, Rickmer Braren, Deliang Fu, Roland Schmid, Ji Li, Bjoern Holger Menze, Kuangyu Shi:
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks. CoRR abs/1806.01023 (2018) - [i5]Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. CoRR abs/1807.05153 (2018) - [i4]Xiaobin Hu, Hongwei Li, Yu Zhao, Chao Dong, Marie Piraud:
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function. CoRR abs/1810.09488 (2018) - [i3]Hongwei Li, Andrii Zhygallo, Bjoern H. Menze:
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net. CoRR abs/1811.04312 (2018) - [i2]Jiechao Ma, Xiang Li, Hongwei Li, Bjoern H. Menze, Sen Liang, Rongguo Zhang, Wei-Shi Zheng:
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images. CoRR abs/1812.07166 (2018) - 2016
- [c3]Hongwei Li, Hao Huang, Wei-Shi Zheng, Xiaohua Xie, Jianguo Zhang:
HEp-2 specimen classification via deep CNNs and pattern histogram. ICPR 2016: 2145-2149 - [i1]Hongwei Li, Jianguo Zhang, Wei-Shi Zheng:
Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis. CoRR abs/1604.05816 (2016) - 2015
- [c2]Bran Hongwei Li, Jianguo Zhang, Wei-Shi Zheng:
HEp-2 cells staining patterns classification via wavelet scattering network and random forest. ACPR 2015: 406-410 - [c1]Dongcheng Huang, Xiang Li, Hongwei Li, Wei-Shi Zheng:
Learning 3D Compact Binary Descriptor for Human Action Recognition in Video. CCBR 2015: 615-623
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