Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT

Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning

Efficient Continuous Network Dismantling

Multi-Scale Spatio-Temporal Transformer-Based Imbalanced Longitudinal Learning for Glaucoma Forecasting From Irregular Time Series Images

Temporal-multimodal consistency alignment for Alzheimer's cognitive assessment prediction

Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation

Infant Hippocampal Segmentation in Ultra-Low-Field MRI Using External Datasets with Diverse Field Strengths

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

Deep learning-based image quality assessment for optical coherence tomography macular scans: a multicentre study

Developing a privacy-preserving deep learning model for glaucoma detection: A multicentre study with federated learning

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

Efficient approaches for attaining epidemic-free networks with minimum edge removal set

Fast Outbreak Sense and Effective Source Inference via Minimum Observer Set

Individual-centralized seeding strategy for influence maximization in information-limited networks

Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images

Adaptive Loss-aware Modulation for Multimedia Retrieval

Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation

Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI

An Artificial Intelligence System for Screening and Recommending the Treatment Modalities for Retinopathy of Prematurity

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

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

Diffusion Containment in Complex Networks Through Collective Influence of Connections

Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation

Liquid biopsy biomarkers to guide immunotherapy in breast cancer

Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation

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

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

Using Deep Learning for Assessing Image-Quality of 3D Macular Scans from Spectral-Domain Optical Coherence Tomography

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

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

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

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

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

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

Framework of evolutionary algorithm for investigation of influential nodes in complex networks

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

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

Optimization of targeted node set in complex networks under percolation and selection

Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation

Automated mitosis detection with deep regression networks

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

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

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Framework of evolutionary algorithm for investigation of influential nodes in complex networks

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

Conference paper

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

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Optimization of targeted node set in complex networks under percolation and selection

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Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification

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3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation

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Automated mitosis detection with deep regression networks

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Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks

Conference paper