Hongwei Li

Affiliations:
  • 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 78 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR, 2023

Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies.
CoRR, 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
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

Why is the winner the best?
CoRR, 2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

Vesselformer: Towards Complete 3D Vessel Graph Generation from Images.
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

blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging.
Proceedings of the Information Processing in Medical Imaging, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models.
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

Learning residual motion correction for fast and robust 3D multiparametric MRI.
Medical Image Anal., 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
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

What Makes for Automatic Reconstruction of Pulmonary Segments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

Relationformer: A Unified Framework for Image-to-Graph Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.
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

Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations.
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

Imbalance-Aware Self-supervised Learning for 3D Radiomic Representations.
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

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

Cross-View Relation Networks for Mammogram Mass Detection.
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

Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
IEEE J. Biomed. Health Informatics, 2019

Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks.
CoRR, 2019

Cross-view Relation Networks for Mammogram Mass Detection.
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

Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification.
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

Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net.
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
Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis.
CoRR, 2016

HEp-2 specimen classification via deep CNNs and pattern histogram.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Learning 3D Compact Binary Descriptor for Human Action Recognition in Video.
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


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