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08/09/2023
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
Medical image analysis using deep learning is often challenged by limite...
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08/01/2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in whi...
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07/28/2023
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification
Finding abnormal lymph nodes in radiological images is highly important ...
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07/20/2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
Lung cancer is a leading cause of death worldwide and early screening is...
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07/19/2023
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
Estimating displacement vector field via a cost volume computed in the f...
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07/17/2023
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate c...
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07/17/2023
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Liver tumor segmentation and classification are important tasks in compu...
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07/10/2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Gastric cancer is the third leading cause of cancer-related mortality wo...
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07/07/2023
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images
Radiotherapists require accurate registration of MR/CT images to effecti...
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06/28/2023
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans
Liver cancer has high morbidity and mortality rates in the world. Multi-...
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06/15/2023
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning
Intrathoracic airway segmentation in computed tomography (CT) is a prere...
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06/15/2023
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal
Image restoration under adverse weather conditions (e.g., rain, snow and...
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04/01/2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Real-world medical image segmentation has tremendous long-tailed complex...
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03/02/2023
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Pancreatic cancer is one of the leading causes of cancer-related death. ...
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02/11/2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation
Self-supervised learning (SSL) has recently achieved promising performan...
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02/01/2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Deep learning empowers the mainstream medical image segmentation methods...
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01/28/2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
Human readers or radiologists routinely perform full-body multi-organ mu...
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01/04/2023
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging
Lymph node (LN) metastasis status is one of the most critical prognostic...
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12/05/2022
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
Automatic parsing of human anatomies at instance-level from 3D computed ...
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08/02/2022
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation
Accurate and robust abdominal multi-organ segmentation from CT imaging o...
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05/09/2022
Localized Adversarial Domain Generalization
Deep learning methods can struggle to handle domain shifts not seen in t...
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01/05/2022
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling
Osteoporosis is a common chronic metabolic bone disease that is often un...
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12/16/2021
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis
Knee osteoarthritis (OA) is a common degenerate joint disorder that affe...
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10/22/2021
Circle Representation for Medical Object Detection
Box representation has been extensively used for object detection in com...
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10/17/2021
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) ...
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10/12/2021
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning
Background Aims: Hepatic steatosis is a major cause of chronic liver...
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10/11/2021
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT
Background: The current clinical workflow for esophageal gross tumor vol...
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09/23/2021
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
In this work, we introduce a fast and accurate method for unsupervised 3...
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09/20/2021
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
Lymph node station (LNS) delineation from computed tomography (CT) scans...
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08/17/2021
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening
Hepatocellular carcinoma (HCC) can be potentially discovered from abdomi...
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05/05/2021
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
Measuring lesion size is an important step to assess tumor growth and mo...
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05/03/2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
Accurately segmenting a variety of clinically significant lesions from w...
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04/29/2021
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph
Landmark localization plays an important role in medical image analysis....
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04/12/2021
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
Depending on the application, radiological diagnoses can be associated w...
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04/07/2021
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
3D delineation of anatomical structures is a cardinal goal in medical im...
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04/05/2021
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray
Osteoporosis is a common chronic metabolic bone disease that is often un...
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03/24/2021
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
Bone mineral density (BMD) is a clinically critical indicator of osteopo...
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03/24/2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
Lesion detection serves a critical role in early diagnosis and has been ...
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03/09/2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...
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12/30/2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Exploiting available medical records to train high performance computer-...
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12/14/2020
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization
Accurate vertebra localization and identification are required in many c...
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12/13/2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach
Using radiological scans to identify liver tumors is crucial for proper ...
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12/12/2020
Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation
Gross tumor volume (GTV) delineation on tomography medical imaging is cr...
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12/09/2020
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
Monitoring treatment response in longitudinal studies plays an important...
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12/08/2020
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management
The pancreatic disease taxonomy includes ten types of masses (tumors or ...
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12/07/2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
Object detection methods are widely adopted for computer-aided diagnosis...
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12/04/2020
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
Radiological images such as computed tomography (CT) and X-rays render a...
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12/02/2020
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Accurate segmentation of anatomical structures is vital for medical imag...
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09/05/2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
Large-scale datasets with high-quality labels are desired for training a...
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09/05/2020