Hongwei Bran Li

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	3301	3291
h-индекс	19	19
i10-индекс	32	32

1300

650

325

975

20182019202020212022202327 198 579 924 1228 315

Публичен достъп

Преглед на всички

32 статии

3 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Bjoern H MenzeUniversität ZürichПотвърден имейл адрес: uzh.ch
Jianguo ZhangProfessor, Southern University of Science and TechnologyПотвърден имейл адрес: sustech.edu.cn
Yu ZhaoAI Lab, TencentПотвърден имейл адрес: tum.de
Bene WiestlerDept. of Neuroradiology, TUMПотвърден имейл адрес: tum.de
Anjany SekuboyinaPhD Student, Technical University of MunichПотвърден имейл адрес: tum.de
Wei-Shi ZhengProfessor @ SUN YAT-SEN UNIVERSITYПотвърден имейл адрес: ieee.org
Suprosanna ShitDoctoral Candidate, Technical University MunichПотвърден имейл адрес: tum.de
Johannes C. PaetzoldImperial College LondonПотвърден имейл адрес: ic.ac.uk
Xiaobin HuTencent Youtu Lab;Technische Universität München (TUM)Потвърден имейл адрес: tum.de
Florian KoflerHelmholtz AI | Helmholtz MunichПотвърден имейл адрес: tum.de
Ivan EzhovPhD student, Technical University of MunichПотвърден имейл адрес: tum.de
Prof. Dr. Kuangyu ShiUniversity of Bern/Technical University of MunichПотвърден имейл адрес: tum.de
Jan KirschkeNeuroradiologe, Technische Universität MünchenПотвърден имейл адрес: tum.de
Giles TettehDoctoral Candidate, Technische Universität München (TUM)Потвърден имейл адрес: tum.de
Daniel RueckertTechnical University of Munich and Imperial College LondonПотвърден имейл адрес: tum.de
Ruixuan WangSun Yat-Sen UniversityПотвърден имейл адрес: mail.sysu.edu.cn
Dr. Oliver SchoppeTechnical University of MunichПотвърден имейл адрес: Oliver-Schoppe.de
Xiang Li (李翔)MeituanПотвърден имейл адрес: meituan.com
Jingkun ChenUniversity of WarwickПотвърден имейл адрес: warwick.ac.uk
Jiechao MaSun Yat-sen UniversityПотвърден имейл адрес: mail2.sysu.edu.cn

Следене

Hongwei Bran Li

Dept. of Computer Science, Techinical University of Munich / University of Zurich

Потвърден имейл адрес: tum.de - Начална страница

Medical Computer Vision Medical Image Analysis Geometric Folding Theory


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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, ... Preprint, 2018	1263	2018
The Liver Tumor Segmentation Benchmark (lits) P Bilic, P Christ, HB Li*, E Vorontsov, A Ben-Cohen, G Kaissis, ... Medical Image Analysis, 2022	553	2022
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	182	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, 2018	180	2018
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	173	2019
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	146	2021
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	112	2018
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	65	2021
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	52	2019
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	47	2020
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	38	2022
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	34	2020
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	31	2020
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, ... EMBC'2019, 2019	27	2019
Cross-view Relation Networks for Mammogram Mass Detection J Ma, S Liang, X Li, H Li, BH Menze, R Zhang, WS Zheng ICPR'2020, 2019	26	2019
Coarse-to-fine adversarial networks and zone-based uncertainty analysis for NK/T-cell lymphoma segmentation in CT/PET images X Hu, R Guo, J Chen, H Li, D Waldmannstetter, Y Zhao, B Li, K Shi, ... IEEE journal of biomedical and health informatics, 2020	25	2020
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	23	2021
Automatic brain structures segmentation using deep residual dilated u-net H Li, A Zhygallo, B Menze MICCAI Brainlesion Workshop, 385-393, 2018	21	2018
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	20	2022
3D Deep Learning Enables Accurate Layer Mapping of 2D Materials X Dong, H Li, Z Jiang*, T Grünleitner, I Güler, J Dong, K Wang, ... ACS nano, 2021	15	2021

Системата не може да изпълни операцията сега. Опитайте отново по-късно.

Статии 1–20

Позовавания годишно

Дублирани описания

Обединени библиографски описания

Добавяне на съавториСъавтори

Следене

Позовавания

Съавтори