Hongwei Li
Orcid: 0000-0002-5328-6407Affiliations:
- Technical University of Munich, Department of Informatics, Germany
- University of Dundee, UK (former)
- Sun Yat-sen University, School of Information Science and Technology, Guangzhou, China (former)
According to our database1,
Hongwei Li
authored at least 102 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.
BMC Medical Imaging, December, 2024
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz.
IEEE J. Biomed. Health Informatics, September, 2024
Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers.
IEEE Trans. Medical Imaging, June, 2024
Medical Image Anal., 2024
Image Vis. Comput., 2024
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models.
CoRR, 2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024
CoRR, 2024
CoRR, 2024
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Medical Image Anal., August, 2023
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023
CoRR, 2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks.
CoRR, 2023
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations.
Proceedings of the Medical Imaging with Deep Learning, 2023
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
Medical Image Anal., 2022
CoRR, 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Learning Shape Reconstruction from Sparse Measurements with Neural Implicit Functions.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.
CoRR, 2021
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Micro-Ct Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
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, 2020
Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks.
CoRR, 2020
Complex Grey Matter Structure Segmentation in Brains via Deep Learning: Example of the Claustrum.
CoRR, 2020
e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation.
CoRR, 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
CoRR, 2020
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., 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Generalisable Cardiac Structure Segmentation via Attentional and Stacked Image Adaptation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
IEEE J. Biomed. Health Informatics, 2019
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks.
CoRR, 2019
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
DiamondGAN: Unified Multi-modal Generative Adversarial Networks for MRI Sequences Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-sequence Cardiac MR Images Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on <sup>18</sup>F-FDG PET Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.
NeuroImage, 2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function.
CoRR, 2018
Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.
CoRR, 2018
Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015
HEp-2 cells staining patterns classification via wavelet scattering network and random forest.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015
2012
Automatic Detection of the Existence of Subarachnoid Hemorrhage from Clinical CT Images.
J. Medical Syst., 2012
2010
Proceedings of the 2010 Symposium on Interactive 3D Graphics, 2010
2009
2008
Dual Poisson-Disk Tiling: An Efficient Method for Distributing Features on Arbitrary Surfaces.
IEEE Trans. Vis. Comput. Graph., 2008
IEEE Trans. Vis. Comput. Graph., 2008
2007
IEEE Trans. Vis. Comput. Graph., 2007
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007