ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection

TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology

CYCLICAL WEIGHT CONSOLIDATION: TOWARDS SOLVING CATASTROPHIC FORGETTING IN SERIAL FEDERATED LEARNING A PREPRINT

Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction

Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction

Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and annotations

A Real-Time Network for Fast Breast Lesion Detection in Ultrasound Videos

Learning Motion-Guided Multi-Scale Memory Features for Video Shadow Detection

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations

SUnet: A multi-organ segmentation network based on multiple attention

Development and validation of a deep-learning model for the detection of non-displaced femoral neck fractures with anteroposterior and lateral hip radiographs

cgMSI: pathogen detection within species from nanopore metagenomic sequencing data

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Editorial: Deep learning for multimodal brain data processing and analysis

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

A deep learning MRI-based signature may provide risk-stratification strategies for nasopharyngeal carcinoma

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

RECIST WEAKLY SUPERVISED LESION SEGMENTATION VIA LABEL-SPACE CO-TRAINING

Novel deep learning-based computer-aided diagnosis system for predicting inflammatory activity in ulcerative colitis

ADVANCING RADIOGRAPH REPRESENTATION LEARNING WITH MASKED RECORD MODELING

GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis

XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers

Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction

Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis

RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal Lesion Segmentation

nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

FedDP: Dual Personalization in Federated Medical Image Segmentation

RECIST WEAKLY SUPERVISED LESION SEGMENTATION VIA LABEL-SPACE CO-TRAINING

G2LL: GLOBAL-TO-LOCAL SELF-SUPERVISED LEARNING FOR LABEL-EFFICIENT TRANSFORMER-BASED SKIN LESION SEGMENTATION IN DERMOSCOPY IMAGES

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos

Medical Boundary Diffusion Model for Skin Lesion Segmentation

Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair

Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

ADVANCING RADIOGRAPH REPRESENTATION LEARNING WITH MASKED RECORD MODELING

Spatial-temporal Fusion Network for Fast Video Shadow Detection

Lesion Guided Explainable Few Weak-shot Medical Report Generation

Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19

UNet-2022: Exploring Dynamics in Non-isomorphic Architecture

The investigation of construction and clinical application of image recognition technology assisted bronchoscopy diagnostic model of lung cancer

Contrastive learning-guided multi-meta attention network for breast ultrasound video diagnosis

Development of a multi-scene universal multiple wavelet-FFT algorithm (MW-FFTA) for denoising motion artifacts in OCT-angiography in vivo imaging

CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration

MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images

The Medical Segmentation Decathlon

Personalizing Federated Medical Image Segmentation via Local Calibration

A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning

H2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

Deepfakes: A new threat to image fabrication in scientific publications?

LEARNING SHAPE PRIORS BY PAIRWISE COMPARISON FOR ROBUST SEMANTIC SEGMENTATION

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Current development and prospects of deep learning in spine image analysis: a literature review

Geometric Prior and Deep Learning Co-Supported Normal Estimation for Point Cloud

Two-Stage Segmentation Framework Based on Distance Transformation

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports

Lymph Node Metastasis Prediction From Whole Slide Images With Transformer-Guided Multiinstance Learning and Knowledge Transfer

Boundary-aware Pyramid Transformer for Polyp Segmentation

Personalizing Federated Medical Image Segmentation via Local Calibration

Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19

MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification

Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification

A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos

Lesion Guided Explainable Few Weak-Shot Medical Report Generation

Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification

SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis

Clustering-Based Multi-instance Learning Network for Whole Slide Image Classification

GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis

MSI: Strain-level pathogen detection from nanopore metagenomic sequencing data

Survival Prediction of Esophageal Cancer Using 3D Residual Autoencoder and Proportional Hazards Model

Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Snipe: highly sensitive pathogen detection from metagenomic sequencing data

A NEW COMPUTER-ASSISTED DIAGNOSIS SCORING SYSTEM BASED ON DEEP LEARNING FOR PREDICTING INFLAMMATORY ACTIVITY FROM PATIENTS WITH ULCERATIVE COLITIS

DEVELOPMENT OF AN AUTOMATIC SYSTEM TO FAST QUANTIFY MARKING AND INCISION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION

Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge

Early neoplasia identification in Barrett's esophagus via attentive hierarchical aggregation and self-distillation

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

LNDb challenge on automatic lung cancer patient management

RECIST-NET: LESION DETECTION VIA GROUPING KEYPOINTS ON RECIST-BASED ANNOTATION

STRONGLY SUPERVISED MITOSIS DETECTION IN BREAST HISTOPATHOLOGY IMAGES USING WEAK LABELS

LEARNING SHAPE PRIORS BY PAIRWISE COMPARISON FOR ROBUST SEMANTIC SEGMENTATION

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

Deep Sub-Region Network for Salient Object Detection

CT-Guided Survival Prediction of Esophageal Cancer

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video

Boundary-Aware Transformers for Skin Lesion Segmentation

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information

Cross-Domain Landmarks Detection in Mitral Regurgitation

Alternative Baselines for Low-Shot 3D Medical Image Segmentation-An Atlas Perspective

Direct Prediction of BRAFV600E Mutation from Histopathological Images in Papillary Thyroid Carcinoma with a Deep Learning Workflow

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network

U-shaped feature extractor used on mask R-CNN for cell nuclei image segmentation

Superpixel-Guided Label Softening for Medical Image Segmentation

A novel approach combined transfer learning and deep learning to predict TMB from histology image

Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification

Superpixel-Guided Label Softening for Medical Image Segmentation

A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound

LT-net: Label transfer by learning reversible voxel-wise correspondence for one-shot medical image segmentation

Endoscopy artefact detection and segmentation using deep convolutional neural network

A Multi-task Learning Method for Direct Estimation of Spinal Curvature

Spinal Curve Guide Network (SCG-Net) for Accurate Automated Spinal Curvature Estimation

Preface

Accurate automated Cobb angles estimation using multi-view extrapolation net

An Active Learning with Two-step Query for Medical Image Segmentation

Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging

UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica

Utility Balanced Classification for Automatic Electronic Medical Record Analysis

An ADMM-net Solution to Inverse Problem of Electrocardiology

An Automated and Accurate Spine Curve Analysis System

RP-Net: A 3D Convolutional Neural Network for Brain Segmentation From Magnetic Resonance Imaging

Nested Dilation Network (NDN) for Multi-Task Medical Image Segmentation

Detecting protrusion lesion in digestive tract using a single-stage detection method

DEEP LEARNING FOR POLYP SEGMENTATION

DETECTING AND SEGMENTING POLYPS USING A DEEP LEARNING-BASED MODEL

SEGMENTATION OF INTESTINAL POLYPS VIA A DEEP LEARNING ALGORITHM

POLYP DETECTION USING AN UNET BASED MODEL

A DEEP LEARNING METHOD FOR INTESTINAL POSITION LOCATING IN WCE

DEEP LEARNING FOR POLYP SEGMENTATION

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

A Coupled Feature Representation based MRI Biomarker for Alzheimer's Disease Prediction

Prediction of lymphocytosis using machine learning algorithm based on checkup data

Direct aneurysm volume estimation by multi-view semi-supervised manifold learning

Recent developments in machine learning for medical imaging applications

Volume calculation of CT lesions based on halton low discrepancy sequences

Volume calculation of CT lung lesions based on Halton low-discrepancy sequences

Random projections and Single BoW for fast and Robust texture segmentation

An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images

Multi-scale non-local denoising method in neuroimaging

EFFECT OF PROGRESSIVE DEGREES OF SIDE-BRANCH BIFURCATION ANGLES ON FLOW IN ARTERY USING NUMERICAL SIMULATION

An improved parallel fuzzy connected image segmentation method based on CUDA

An improved fuzzy connected image segmentation method base on CUDA

A segmentation and classification scheme for single tooth in MicroCT images based on 3D level set and k-means++

NUMERICAL SIMULATION OF TRANSIENT BLOOD FLOW THROUGH THE LEFT CORONARY ARTERY WITH VARYING DEGREES OF BIFURCATION ANGLES

Structure fusion for automatic segmentation of left atrial aneurysm based on deep residual networks

Broken and degraded document images binarization

Application of L0-norm regularization to epicardial potential reconstruction

Noninvasive electrocardiographic imaging of cardiac arrhythmias: Enhance the diagnosis of bundle branch block

Sparse imaging of epicardial potentials for patients with WPW syndrome

Fully automatic cardiac motion estimation in 3D echocardiography using non-rigid registration