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07/28/2023
Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation
Pulmonary nodules and masses are crucial imaging features in lung cancer...
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07/16/2023
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling
Objects interact with each other in various ways, including containment,...
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06/12/2023
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset
Accurate segmentation of pulmonary airways and vessels is crucial for th...
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06/11/2023
The Impact of ChatGPT and LLMs on Medical Imaging Stakeholders: Perspectives and Use Cases
This study investigates the transformative potential of Large Language M...
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03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
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03/07/2023
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention
Lung cancer is the leading cause of cancer death worldwide. The best sol...
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01/18/2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Self-supervised learning has attracted increasing attention as it learns...
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10/18/2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
Automatic rib labeling and anatomical centerline extraction are common p...
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08/03/2022
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
Convolutional neural networks (CNNs) have been demonstrated to be highly...
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07/07/2022
What Makes for Automatic Reconstruction of Pulmonary Segments
3D reconstruction of pulmonary segments plays an important role in surgi...
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06/30/2022
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
The human annotations are imperfect, especially when produced by junior ...
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06/11/2022
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
Projection map (PM) from optical coherence tomography (OCT) B-scan is an...
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03/19/2022
Representation-Agnostic Shape Fields
3D shape analysis has been widely explored in the era of deep learning. ...
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10/27/2021
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of...
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09/17/2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Modeling 3D context is essential for high-performance 3D medical image a...
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09/17/2021
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Manual rib inspections in computed tomography (CT) scans are clinically ...
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04/29/2021
3D Human Action Representation Learning via Cross-View Consistency Pursuit
In this work, we propose a Cross-view Contrastive Learning framework for...
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10/28/2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
We present MedMNIST, a collection of 10 pre-processed medical open datas...
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10/21/2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
This paper addresses the challenging black-box adversarial attack proble...
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10/08/2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Predicting clinical outcome is remarkably important but challenging. Res...
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10/08/2020
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Diagnosis of pulmonary lesions from computed tomography (CT) is importan...
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06/24/2020
Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules
Follow-up serves an important role in the management of pulmonary nodule...
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05/05/2020
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
This paper addresses a fundamental challenge in 3D medical image process...
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04/12/2020
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
Diagnosis and treatment of multiple pulmonary nodules are clinically imp...
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04/09/2020
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection
Early diagnosis of signet ring cell carcinoma dramatically improves the ...
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11/24/2019
Reinventing 2D Convolutions for 3D Medical Images
There has been considerable debate over 2D and 3D representation learnin...
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10/20/2019
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
Radiomics analysis has achieved great success in recent years. However, ...
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09/13/2019
Evaluating and Boosting Uncertainty Quantification in Classification
Emergence of artificial intelligence techniques in biomedical applicatio...
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04/06/2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Geometric deep learning is increasingly important thanks to the populari...
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02/28/2019