| 2024.08.12 | 刘鑫雅
罗子豪 | CVPR 2024 | Open-Set Domain Adaptation for Semantic Segmentation | Pytorch |
| 2024.08.05 | 王李廷煜
李赫 | CVPR 2024 | Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation | Pytorch |
| 2024.07.29 | 伍江浩
周渝博 | CVPR 2024 | Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation | |
| 2024.07.22 | 付佳
魏洁 | CVPR 2024 | From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation | Pytorch |
| 2024.07.15 | 王李廷煜
罗子豪 | EMNLP 2023 | RWKV: Reinventing RNNs for the Transformer Era | Pytorch |
| 2024.07.08 | 韩梦
王旭晴 | arXiv | MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection | Pytorch |
| 2024.07.01 | 刘鑫雅
李赫 | arXiv | KAN: Kolmogorov–Arnold Networks | Pytorch |
| 2024.06.24 | 伍江浩
周渝博 | CVPR 2024 | Vim4Path: Self-Supervised Vision Mamba for Histopathology Images | Pytorch |
| 2024.06.17 | 罗祥德
叶平 | arXiv | Demystify Mamba in Vision: A Linear Attention Perspective | Pytorch |
| 2024.06.03 | 钟岚烽
周先豪 | arXiv | Vision mamba: Efficient visual representation learning with bidirectional state space model | Pytorch |
| 2024.05.27 | 魏洁
付佳 | arXiv | Mamba: Linear-Time Sequence Modeling with Selective State Spaces | Pytorch |
| 2024.05.20 | 王李廷煜
罗子豪 | Nature Medicine 2024 | Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging | Pytorch |
| 2024.05.13 | 罗祥德
李赫 | Nature Machine Intelligence 2024 | Foundation model for cancer imaging biomarkers | Pytorch |
| 2024.04.29 | 伍江浩
刘鑫雅 | Nature Medicine 2024 | Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning | Pytorch |
| 2024.04.22 | 钟岚烽
邹宝胜 | Nature Medicine 2024 | Towards a General-Purpose Foundation Model for Computational Pathology | Pytorch |
| 2024.04.15 | 韩梦
卢江山 | arXiv | MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation | |
| 2024.04.08 | 周渝博
伍江浩 | CVPR 2024 | One-Prompt to Segment All Medical Images | Pytorch |
| 2024.04.01 | 王李廷煜
曲义杰 | arXiv | Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation | Not available |
| 2024.03.25 | 付佳
魏洁 | arXiv | Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation | Pytorch |
| 2024.03.18 | 叶平
曲义杰 | arXiv | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything | Pytorch |
| 2024.03.11 | 李赫
刘鑫雅 | MIA 2024 | Segment anything model for medical images? | Pytorch |
| 2024.03.04 | 钟岚烽
邹宝胜 | CVPR2023 | Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images | Pytorch |
| 2024.01.15 | 韩梦
卢江山 | TMI 2023 | Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction | Pytorch |
| 2024.01.08 | 叶平
周渝博 | TMI 2024 | Federated Semi-supervised Medical Image Segmentation via Prototype-based Pseudo-labeling and Contrastive Learning | Pytorch |
| 2024.01.02 | 付佳
魏洁 | CVPR 2023 | Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning | Pytorch |
| 2023.12.25 | 罗祥德
王李廷煜 | TMI 2024 | Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation | |
| 2023.12.18 | 李赫
刘鑫雅 | MIA 2023 | Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation | |
| 2023.12.11 | 叶平
曲义杰 | CVPR 2023 | Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation | Pytorch |
| 2023.12.04 | 魏洁
邹宝胜 | CVPR 2023 | SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection | Pytorch |
| 2023.11.27 | 卢江山
韩梦 | MICCAI 2023 | 1. A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images
2. Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification |
Pytorch |
| 2023.11.20 | 伍江浩
周渝博 | MICCAI 2023 | 1. Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation
2. Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning | Pytorch |
| 2023.11.13 | 付佳
钟岚烽 | MICCAI 2023 | 1. PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images
2. OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification | Pytorch
Pytorch |
| 2023.11.06 | 罗祥德
王李廷煜 | MICCAI 2023 | 1. UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
2. Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images | Pytorch
Pytorch |
| 2023.10.30 | 李赫
刘鑫雅 | MICCAI 2023 | 1. Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
2. Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher | Pytorch
Pytorch |
| 2023.10.23 | 曲义杰
叶平 | MICCAI 2023 | 1. Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization
2. Decoupled Consistency for Semi-supervised Medical Image Segmentation |
Pytorch |
| 2023.10.16 | 邹宝胜
魏洁 | MICCAI 2023 | 1. self-supervised learning for endoscopic video analysis
2. Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning |
Pytorch |
| 2023.10.09 | 韩梦
卢江山 | Nature Communications 2021 | Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images | Tensorflow |
| 2023.09.25 | 伍江浩
周渝博 | CVPR 2023 | Siamese Image Modeling for Self-Supervised Vision Representation Learning | |
| 2023.08.07 | 付佳
钟岚烽 | Nature Biomedical Engineering 2023 | Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging | Tensorflow |
| 2023.07.24 | 罗祥德
王李廷煜 | Nature Machine Intelligence 2023 | Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation | Pytorch |
| 2023.07.17 | 伍江浩
周瑜博 | IPMI 2023 | Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation | Pytorch |
| 2023.07.10 | 魏洁
邹宝胜 | CVPR 2023 | Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection | Pytorch |
| 2023.07.03 | 韩梦
卢江山 | CVPR 2023 | Pseudo-label Guided Contrastive Learning for Semi-supervised Medical Image Segmentation | Pytorch |
| 2023.06.26 | 叶平
曲义杰 | CVPR 2022 | BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation | Pytorch |
| 2023.06.19 | 付佳
钟岚烽 | CVPR 2023 | Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation | Pytorch |
| 2023.06.19 | 罗祥德
钟岚烽 | CVPR 2023 | Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model | Not available |
| 2023.05.22 | 付佳
钟岚烽 | ICLR 2023 | Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation | Pytorch |
| 2023.05.15 | 韩梦
卢江山 | CVPR 2022 | CRIS: CLIP-Driven Referring Image Segmentation | |
| 2023.05.08 | 刘鑫雅
伍江浩 | CVPR 2023 | Delving into Shape-aware Zero-shot Semantic Segmentation | Pytorch |
| 2023.04.24 | 魏洁
翟书唯 | CVPR 2022 | High-Resolution Image Synthesis with Latent Diffusion Models | Pytorch |
| 2023.04.17 | 顾然
Dejene | arXiv | Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection | Pytorch |
| 2023.04.10 | 罗祥德
赵乾飞 | arXiv | Segment Anything | Pytorch |
| 2023.04.03 | 邹宝胜
曲义杰 | CVPR 2022 | GroupViT: Semantic Segmentation Emerges from Text Supervision | Pytorch |
| 2023.03.27 | 韩梦
卢江山 | arXiv | CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation | Pytorch |
| 2023.03.20 | 付佳
钟岚烽 | ECCV 2022 | A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model | Pytorch |
| 2023.03.16 | 赵乾飞
邹宝胜 | arXiv | CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection | Pytorch |
| 2023.03.02 | 伍江浩
刘鑫雅 | AAAI 2023 | Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation | |
| 2023.02.23 | 曲义杰
董桂铭 | CVPR 2022 | Decoupled Knowledge Distillation | PyTorch |
| 2023.02.16 | 魏洁
翟书唯 | TMI 2021 | Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features | |
| 2022.12.29 | 罗祥德
付佳 | MIA 2022 | Segmentation with mixed supervision: Confidence maximization helps knowledge distillation | Pytorch |
| 2022.12.22 | 顾然
Dejene | MIA 2022 | Rethinking adversarial domain adaptation: Orthogonal decomposition for unsupervised domain adaptation in medical image segmentation | Pytorch |
| 2022.12.08 | 刘鑫雅
董桂铭 | TMI 2022 | DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images | Pytorch |
| 2022.12.01 | 韩梦
卢江山 | TMI 2022 | SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation | |
| 2022.11.24 | 付佳
钟岚烽 | MedIA 2022 | Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning | Pytorch |
| 2022.11.17 | 魏洁
翟书唯 | MedIA 2022 | Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation | |
| 2022.11.10 | 伍江浩
邹宝胜 | TMI (Early Access) | LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation | |
| 2022.11.03 | 曲义杰
赵乾飞 | MedIA 2022 | Mutual consistency learning for semi-supervised medical image segmentation | Pytorch |
| 2022.10.27 | 卢江山 | MICCAI 2022 | Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation | |
| 2022.10.27 | 刘鑫雅 | MICCAI 2022 | Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift | Pytorch |
| 2022.10.27 | 付佳 | MICCAI 2022 | Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation | Pytorch |
| 2022.10.13 | 魏洁 | MICCAI 2022 | Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images | Pytorch |
| 2022.10.13 | 曲义杰 | MICCAI 2022 | DeSD: Self-Supervised Learning with DeepSelf-Distillation for 3D Medical ImageSegmentation | Code |
| 2022.10.13 | Dejene | MICCAI 2022 | Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation | |
| 2022.10.08 | 钟岚峰 | MICCAI 2022 | Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement | |
| 2022.10.08 | 伍江浩 | MICCAI 2022 | Test-Time Adaptation with Shape Moments for Image Segmentation | Pytorch |
| 2022.10.08 | 顾然 | MICCAI 2022 | Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation | Pytorch |
| 2022.09.29 | 邹宝胜 | MICCAI 2022 | Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation | |
| 2022.09.29 | 罗祥德 | MICCAI 2022 | Semi-supervised Medical Image Segmentation Using Cross-Model Pseudo-Supervision with Shape Awareness and Local Context Constraints | Pytorch |
| 2022.09.29 | 韩梦 | MICCAI 2022 | Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations | Pytorch |
| 2022.08.31 | 罗祥德 | The Lancet Digital Health | Spatially-aware Graph Neural Networks Enable Cross-level Molecular Profile Prediction in Colon Cancer Histopathology: A Retrospective Multicentre Cohort Study | |
| 2022.08.09 | 董桂铭
邹宝胜 | Nature communications | A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images | |
| 2022.08.02 | 顾然
Dejene | Nature communications | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images | |
| 2022.07.26 | 曲义杰
赵乾飞 | Nature communications | Annotation-efficient deep learning for automatic medical image segmentation | |
| 2022.07.19 | 卢江山
韩梦 | Nature communications | COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images | |
| 2022.07.12 | 魏洁
翟书唯 | Nature communications | Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation | |
| 2022.07.05 | 刘鑫雅
伍江浩 | Nature communications | Glass-cutting medical images via a mechanical image segmentation method based on crack propagation | |
| 2022.06.28 | 钟岚烽
付佳 | Nature communications | Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations | |
| 2022.06.15 | 罗祥德 | arxiv | CT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-Training | |
| 2022.06.08 | 董桂铭
邹宝胜 | arxiv | NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition | |
| 2022.06.01 | 卢江山
韩梦 | arxiv | Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation | |
| 2022.05.25 | 曲义杰
赵乾飞 | arxiv | Self-Distillation from the Last Mini-Batch for Consistency Regularization | |
| 2022.05.18 | 顾然
Dejene | AAAI2022 | Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary | |
| 2022.05.11 | 向东海
魏洁 | arxiv | ViM: Out-Of-Distribution with Virtual-logit Matching | |
| 2022.04.28 | 付浩
翟书唯 | arxiv | CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision | |
| 2022.04.21 | 付佳
钟岚烽 | arxiv | Adaptive Early-Learning Correction for Segmentation from Noisy Annotations | |
| 2022.04.14 | 郭栋
王璐 | CVPR2019 | Semantic Image Synthesis with Spatially-Adaptive Normalization | |
| 2022.04.07 | 罗祥德
邹宝胜 | arxiv | Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization | |
| 2021.08.03 | 顾然
罗祥德 | CVPR2021 | Uncertainty Reduction for Model Adaptation in Semantic Segmentation | |
| 2021.07.28 | 董桂铭
邹宝胜 | CVPR2021 | Involution: Inverting the Inherence of Convolution for Visual Recognition | |
| 2021.07.21 | Dejene
伍江浩 | CVPR2021 | Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers | |
| 2021.07.14 | 赵乾飞
曲义杰 | CVPR2021 | Coordinate Attention for Efficient Mobile Network Design | |
| 2021.07.07 | 向东海
杨硕崛 | CVPR2021 | CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild | |
| 2021.03.31 | 顾然
Dejene | arxiv | Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization | |
| 2021.03.24 | 曲义杰
赵乾飞 | CVPR2021 | Revisiting Knowledge Distillation: An Inheritance and Exploration Framework | |
| 2021.01.06 | 向东海
许伟 | TPAMI2020 | 3D Hand Pose Estimation Using Synthetic Data and Weakly Labeled RGB Images | |
| 2020.12.30 | 董桂铭
王璐 | TMI | Multi-Domain Image Completion for Random Missing Input Data | |
| 2020.12.23 | 杨硕崛
罗祥德 | ECCV2020 | End-to-End Object Detection with Transformers | |
| 2020.12.16 | 雷文辉
赵乾飞 | MedIA | ‘Squeeze & excite’ guided few-shot segmentation of volumetric images | |
| 2020.12.09 | 翟书唯
王欢 | TMI | Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders | |
| 2020.11.25 | 向东海 | ECCV2020 | JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image | |
| 2020.11.25 | 向东海 | Arxiv | Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder | |
| 2020.11.25 | 郭栋 | MICCAI2020 | Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline | |
| 2020.11.25 | 郭栋 | MICCAI2020 | Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network | |
| 2020.11.18 | 王璐 | MICCAI2020 | Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN | |
| 2020.11.18 | 王璐 | MICCAI2020 | Graded Image Generation Using Stratified CycleGAN | |
| 2020.11.18 | 王璐 | MICCAI2020 | AGAN: An Anatomy Corrector Conditional Generative Adversarial Network | |
| 2020.11.18 | 王欢 | MICCAI2020 | Robust Medical Image Segmentation from Non-expert Annotations with Tri-network | |
| 2020.11.18 | 王欢 | MICCAI2020 | Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation | |
| 2020.11.11 | 许伟 | CVPR2020 | GaitPart: Temporal Part-Based Model for Gait Recognition | PyTorch |
| 2020.11.11 | 付浩 | MICCAI2020 | Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography | |
| 2020.11.11 | 付浩 | MICCAI2020 | Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment | |
| 2020.11.11 | 付浩 | MICCAI2020 | Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks | |
| 2020.11.04 | 翟书唯 | TPAMI | Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning | |
| 2020.10.28 | 董桂铭
罗祥德 | Arxiv | Thickened 2D Networks for Efficient 3D Medical Image Segmentation | |
| 2020.10.21 | 赵乾飞
雷文辉 | TMI | Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT | |
| 2020.10.14 | 杨硕崛
郭栋 | MIA | Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation | |
| 2020.09.30 | 向东海 | ICCV2019 | A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image | Pytorch |
| 2020.09.02 | 梅昊陈 | ECCV2020 | Semi-Supervised Segmentation based on Error-Correcting Supervision | |
| 2020.09.02 | 付浩 | CVPR2020 | CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentationvia Global and Local Refinement | Pytorch |
| 2020.08.19 | 王欢 | CVPR2020 | Squeeze-and-Attention Networks for Semantic Segmentation | |
| 2020.08.19 | 王欢 | CVPR2020 | ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks | |
| 2020.08.19 | 王欢 | CVPR2020 | Dynamic Convolution: Attention over Convolution Kernels | |
| 2020.08.19 | 顾然 | CVPR2020 | Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision | Pytorch |
| 2020.08.12 | 雷文辉 | CVPR2020 | Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search | |
| 2020.08.12 | 郭栋 | CVPR2020 | MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks | |
| 2020.08.05 | 王璐 | ECCV2020 | Unsupervised Sketch-to-Photo Synthesis | |
| 2020.08.05 | 刘保森 | ECCV2020 | BorderDet: Border Feature for Dense Object Detection | Pytorch |
| 2020.07.29 | 许伟 | CVPR2020 | PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation | |
| 2020.07.29 | 向东海 | CVPR2020 | Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation | Pytorch |
| 2020.07.22 | 王欢 | CVPR2020 | Learning Dynamic Routing for Semantic Segmentation | |
| 2020.07.22 | 罗祥德 | CVPR2020 | Structure Boundary Preserving Segmentation for Medical Imagewith Ambiguous Boundary | |
| 2020.07.15 | 梅昊陈 | MIDL | 1. Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision 2. Mutual information deep regularization for semi-supervised segmentation | |
| 2020.07.15 | 付浩 | MIDL | 1. Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation 2. A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy | |
| 2020.07.08 | 雷文辉 | Nature machine intelligence | Predicting tumour mutational burden from histopathological images using multiscale deep learning | |
| 2020.07.08 | 郭栋 | Nature machine intelligence | Which Contrast Does Matter? Towards a Deep Understanding of MR Contrast using Collaborative GAN | |
| 2020.07.01 | 王璐 | Nature machine intelligence | Augmenting Vascular Disease Diagnosis by Vasculature-aware Unsupervised Learning | |
| 2020.07.01 | 顾然 | Nature machine intelligence | A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets | Python |
| 2020.06.24 | 刘保森 | TPAMI | End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning | |
| 2020.06.17 | 许伟 | CVPR2020 | HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation | Pytorch |
| 2020.06.17 | 向东海 | CVPR2020 | VIBE: Video Inference for Human Body Pose and Shape Estimation | Tensorflow |
| 2020.06.10 | 梅昊陈 | TMI | Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images | Pytorch |
| 2020.06.10 | 付浩 | Neural Networks | Learning deformable registration of medical images with anatomical constraints | Tensorflow |
| 2020.06.03 | 王欢 | Submitted to TMI | Synergistic Learning of Lung Lobe Segmentationand Hierarchical Multi-Instance Classification forAutomated Severity Assessment of COVID-19 inCT Images | |
| 2020.06.03 | 雷文辉 | TMI | HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation | Pytorch |
| 2020.05.27 | 郭栋 | CVPR2020 | Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation | PyTorch |
| 2020.05.27 | 顾然 | TMI | Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation | TensorFlow |
| 2020.01.08 | 梅昊陈 | TPAMI | Semi-Supervised Semantic Segmentation with High- and Low-level Consistency | Pytorch |
| 2019.12.25 | 刘保森 | TPAMI | Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans | |
| 2019.12.18 | 许伟 | TPAMI | 3D Human Pose Machines with Self-supervised Learning | Tensorflow |
| 2019.12.18 | 向东海 | {IEEE} Trans.Mutimedia | Multi-Person Pose Estimation Using Bounding Box Constraint and LSTM | |
| 2019.12.11 | 王璐 | TMI | Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment | |
| 2019.12.11 | 雷文辉 | MedIA | Self-supervised learning for medical image analysis using image context restoration | |
| 2019.12.04 | 王欢 | TMI/Neurocomputing | Recalibrating Fully Convolutional Networks with Spatial and Channel ‘Squeeze & Excitation’ Blocks | |
| 2019.12.04 | 付浩 | TMI2019 | Progressively trained convolutional neural networks for deformable image registration | |
| 2019.11.27 | 罗祥德 | TMI2019 | A 3D Spatially-Weighted Network for Segmentation of Brain Tissue from MRI | |
| 2019.11.27 | 顾然 | TMI2019 | Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation | |
| 2019.11.20 | 付浩 | ICCV2019 | Recursive Cascaded Networks for Unsupervised Medical Image Registration | Tensorflow |
| 2019.11.13 | 许伟 | ICCV2019 | HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation | |
| 2019.11.13 | 向东海 | ICCV2019 | Cross View Fusion for 3D Human Pose Estimation | Pytorch |
| 2019.11.06 | 刘保森 | ICCV2019 | SinGAN: Learning a Generative Model from a Single Natural Image | Pytorch |
| 2019.10.30 | 王璐 | MICCAI2019 | ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation | Pytorch |
| 2019.10.30 | 郭栋 | MICCAI2019 | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network | |
| 2019.10.23 | 梅昊陈 | MICCAI | 1.Improved Inference via Deep Input Transfer 2.Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation | |
| 2019.10.23 | 雷文辉 | MICCAI2019 | Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice | |
| 2019.10.16 | 刘保森 | CVPR2019 | RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion | |
| 2019.10.16 | 郭栋 | CVPR2019 | Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning | Pytorch |
