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 |