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09/19/2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
Domain Adaptation (DA) is important for deep learning-based medical imag...
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09/18/2023
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency
Multi-organ segmentation in abdominal Computed Tomography (CT) images is...
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09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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08/15/2023
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation
There is an increasing interest in developing LLMs for medical diagnosis...
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08/09/2023
Classification of lung cancer subtypes on CT images with synthetic pathological priors
The accurate diagnosis on pathological subtypes for lung cancer is of si...
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07/27/2023
Text-guided Foundation Model Adaptation for Pathological Image Classification
The recent surge of foundation models in computer vision and natural lan...
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07/22/2023
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
Survival outcome assessment is challenging and inherently associated wit...
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06/29/2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Pretraining with large-scale 3D volumes has a potential for improving th...
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06/29/2023
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Foundation models have exhibited remarkable success in various applicati...
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06/25/2023
Exploring Data Redundancy in Real-world Image Classification through Data Selection
Deep learning models often require large amounts of data for training, l...
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06/20/2023
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation
Accurate segmentation of the fetal brain from Magnetic Resonance Image (...
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06/09/2023
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
This article discusses the opportunities, applications and future direct...
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06/04/2023
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning
A major enduring focus of clinical workflows is disease analytics and di...
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05/30/2023
Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics
Local hemodynamic forces play an important role in determining the funct...
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05/30/2023
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models
Large pre-trained vision-language models have shown great prominence in ...
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05/30/2023
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
Segmentation of pathological images is a crucial step for accurate cance...
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04/28/2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
The Segment Anything Model (SAM) made an eye-catching debut recently and...
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04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
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03/12/2023
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model
Inevitable domain and task discrepancies in real-world scenarios can imp...
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11/22/2022
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Generalization to previously unseen images with potential domain shifts ...
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08/19/2022
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Background and Objective: Existing deep learning platforms for medical i...
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08/11/2022
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
The success of Convolutional Neural Networks (CNNs) in 3D medical image ...
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06/08/2022
Towards Self-supervised and Weight-preserving Neural Architecture Search
Neural architecture search (NAS) algorithms save tremendous labor from h...
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06/07/2022
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy
Accurate segmentation of Anatomical brain Barriers to Cancer spread (ABC...
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03/04/2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
Medical image segmentation plays an irreplaceable role in computer-assis...
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02/17/2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Image-based characterization and disease understanding involve integrati...
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01/21/2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Medical image segmentation has been widely recognized as a pivot procedu...
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12/09/2021
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Recently, deep learning with Convolutional Neural Networks (CNNs) and Tr...
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09/29/2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention
Computed Tomography (CT) plays an important role in monitoring radiation...
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09/18/2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
Domain generalizable model is attracting increasing attention in medical...
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07/08/2021
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
Precise localization of polyp is crucial for early cancer screening in g...
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07/02/2021
Mixed Supervision Learning for Whole Slide Image Classification
Weak supervision learning on classification labels has demonstrated high...
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06/28/2021
Multi-Compound Transformer for Accurate Biomedical Image Segmentation
The recent vision transformer(i.e.for image classification) learns non-l...
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05/27/2021
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation
Deep learning has demonstrated significant improvements in medical image...
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05/14/2021
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
The study of multi-type Protein-Protein Interaction (PPI) is fundamental...
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04/12/2021
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
Automatic and accurate lung nodule detection from 3D Computed Tomography...
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02/03/2021
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss
Nasopharyngeal Carcinoma (NPC) is a leading form of Head-and-Neck (HAN) ...
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12/29/2020
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
Despite that deep learning has achieved state-of-the-art performance for...
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12/13/2020
One-Shot Object Localization in Medical Images based on Relative Position Regression
Deep learning networks have shown promising performance for accurate obj...
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12/13/2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma
Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...
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11/01/2020
Learning Euler's Elastica Model for Medical Image Segmentation
Image segmentation is a fundamental topic in image processing and has be...
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09/16/2020
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
Aggregating multi-level feature representation plays a critical role in ...
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09/09/2020
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Deep learning-based semi-supervised learning (SSL) algorithms have led t...
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08/17/2020
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Multi-organ segmentation has extensive applications in many clinical app...
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07/10/2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images
Nuclei segmentation is a fundamental task in histopathology image analys...
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07/07/2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...
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05/27/2020
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
The segmentation of coronary arteries in X-ray angiograms by convolution...
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04/03/2020
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Clinical research on smart healthcare has an increasing demand for intel...
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10/16/2019
