A deep learning system for predicting time to progression of diabetic retinopathy

Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images

Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning

BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels

Deep contour attention learning for scleral deformation from OCT images

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

Deep local-to-global feature learning for medical image super-resolution

Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images

Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

Dual-stream multi-dependency graph neural network enables precise cancer survival analysis

Efficient Supervised Pretraining of Swin-transformer for Virtual Staining of Microscopy Images

Learning co-plane attention across MRI sequences for diagnosing twelve types of knee abnormalities

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher

Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach

Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources

Aligning Medical Images with General Knowledge from Large Language Models

Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography

Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification

Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment

PromptMRG: Diagnosis-driven prompts for medical report generation

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection

Target-Aware Knowledge Transfer for Whole Slide Image Classification

Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Deep learning for computational cytology: A survey

Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions

Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study

Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images

Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training

Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network

The Liver Tumor Segmentation Benchmark (LiTS)

人工智能赋能白内障分级诊疗新模式

Cross-Modal Translation and Alignment for Survival Analysis

DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation

Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification

DoNet : Deep De-overlapping Network for Cytology Instance Segmentation

Efficient 3D Transformer with cluster-based Domain-Adversarial Learning for 3D Medical Image Segmentation

Few Shot Medical Image Segmentation with Cross Attention Transformer

Image Quality-aware Diagnosis via Meta-knowledge Co-embedding

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification

Multimodal optimal transport-based co-attention transformer with global structure consistency for survival prediction

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation

Scale Federated Learning for Label Set Mismatch in Medical Image Classification

Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains

Unsupervised Domain Adaptation for Anatomical Landmark Detection

An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study

Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution

Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study

Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement

ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans

Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification

Sample Alignment for Image-to-Image Translation Based Medical Domain Adaptation

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification

Development and evaluation of a deep learning algorithm for rib segmentation and fracture detection from multicenter chest ct images

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

Potentials of AI in medical image analysis in Gastroenterology and Hepatology

Prediction of Treatment Response According to ASAS-EULAR Management Recommendations in 1 Year for Hip Involvement in Axial Spondyloarthritis Based on MRI and Clinical Indicators

Transformation-consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays

A Multi-Organ Nucleus Segmentation Challenge

Deep mining external imperfect data for chest X-ray disease screening

Multi-Task Deep Model with Margin Ranking Loss for Lung Nodule Analysis

Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Rectifying Supporting Regions with Mixed and Active Supervision for Rib Fracture Recognition

Towards a new generation of artificial intelligence in China

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation

Simulation and Clinical Multi-Reader Study using Clinically-Led Deep Learning Automated Radiograph Triaging System

Automatic lesion detection with three-dimensional convolutional neural networks

Deep learning for automated contouring of primary tumor volumes by MRI for nasopharyngeal carcinoma

Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

PNP-AdaNet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

Deep multilevel contextual networks for biomedical image segmentation

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning

A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation

Clinically-Led Automated Radiograph Triaging System Based on Convolution Neural Networks--A Simulation Study

Deep angular embedding and feature correlation attention for breast MRI cancer analysis

Diagnostic Assessment of Recalibrated Multi-instance Deep Learning Network for Gastric Dysplasia and Adenocarcinoma in Biopsy

IRNet: Instance relation network for overlapping cervical cell segmentation

Light-weight hybrid convolutional network for liver tumor segmentation

PFA-ScanNet: Pyramidal feature aggregation with synergistic learning for breast cancer metastasis analysis

PRSNet: Part Relation and Selection Network for Bone Age Assessment

Robust learning at noisy labeled medical images: Applied to skin lesion classification

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation

Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Development and Validation of A Deep Learning Algorithm for Automated Delineation of Primary Tumor for Nasopharyngeal Carcinoma from Multimodal Magnetic Resonance Images

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation

Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis

ScanNet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image

Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest X-ray segmentation

SFCN-OPI: Detection and fine-grained classification of nuclei using sibling FCN with objectness prior interaction

Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss

3D deeply supervised network for automated segmentation of volumetric medical images

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge

DCAN: Deep contour-aware networks for object instance segmentation from histology images

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Gland segmentation in colon histology images: The glas challenge contest

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

The Height-Width-Depth Ratios of the Intervertebral Discs and Vertebral Bodies in Adolescent Idiopathic Scoliosis vs Controls in a Chinese Population

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images

AGNet: Attention-guided network for surgical tool presence detection

Automated pulmonary nodule detection via 3D convnets with online sample filtering and hybrid-loss residual learning

Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets

Volumetric convnets with mixed residual connections for automated prostate segmentation from 3d MR images

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation

Automated mitosis detection with deep regression networks

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Deep Contextual Networks for Neuronal Structure Segmentation

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks

Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks

Square Localization for Efficient and Accurate Object Detection

Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

Article

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Article

SV-RCNet: Workflow recognition from surgical videos using recurrent convolutional network

Article

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Article

Development and Validation of A Deep Learning Algorithm for Automated Delineation of Primary Tumor for Nasopharyngeal Carcinoma from Multimodal Magnetic Resonance Images

Conference paper

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation

Conference paper

Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis

Conference paper

ScanNet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image

Conference paper

Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest X-ray segmentation

Conference paper

SFCN-OPI: Detection and fine-grained classification of nuclei using sibling FCN with objectness prior interaction

Conference paper

Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss

Conference paper

3D deeply supervised network for automated segmentation of volumetric medical images

Article

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Article

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge

Article

DCAN: Deep contour-aware networks for object instance segmentation from histology images

Article

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Article

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Article

Gland segmentation in colon histology images: The glas challenge contest

Article

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

Article

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

Article

The Height-Width-Depth Ratios of the Intervertebral Discs and Vertebral Bodies in Adolescent Idiopathic Scoliosis vs Controls in a Chinese Population

Article

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Article

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Article

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images

Book chapter

AGNet: Attention-guided network for surgical tool presence detection

Conference paper

Automated pulmonary nodule detection via 3D convnets with online sample filtering and hybrid-loss residual learning

Conference paper

Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets

Conference paper

Volumetric convnets with mixed residual connections for automated prostate segmentation from 3d MR images

Conference paper

Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks

Article

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Conference paper

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation

Conference paper

Automated mitosis detection with deep regression networks

Conference paper

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Conference paper

Deep Contextual Networks for Neuronal Structure Segmentation

Conference paper

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

Conference paper

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

Conference paper

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

Conference paper

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

Article

Automatic cerebral microbleeds detection from MR images via Independent Subspace Analysis based hierarchical features

Conference paper

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

Conference paper

Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks

Conference paper

Automatic localization and identification of vertebrae in spine CT via a joint learning model with deep neural networks

Conference paper

Square Localization for Efficient and Accurate Object Detection

Conference paper

Fetal Abdominal Standard Plane Localization Through Representation Learning with Knowledge Transfer

Conference paper