b'Le Lu'

research

∙ 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...

5 Mingze Yuan, et al. ∙

research

∙ 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. ...

0 Bo Zhou, et al. ∙

research

∙ 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...

0 Yankai Jiang, et al. ∙

research

∙ 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...

0 Zhanghexuan Ji, et al. ∙

research

∙ 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...

0 Jieneng Chen, et al. ∙

research

∙ 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...

0 Zhilin Zheng, et al. ∙

research

∙ 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 ...

0 Heng Guo, et al. ∙

research

∙ 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...

0 Minfeng Xu, et al. ∙

research

∙ 05/09/2022

Localized Adversarial Domain Generalization

Deep learning methods can struggle to handle domain shifts not seen in t...

0 Wei Zhu, et al. ∙

research

∙ 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...

0 Fakai Wang, et al. ∙

research

∙ 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...

0 Kang Zheng, et al. ∙

research

∙ 10/22/2021

Circle Representation for Medical Object Detection

Box representation has been extensively used for object detection in com...

0 Ethan H. Nguyen, et al. ∙

research

∙ 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) ...

0 Peng Wang, et al. ∙

research

∙ 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...

9 Bowen Li, et al. ∙

research

∙ 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...

0 Xianghua Ye, et al. ∙

research

∙ 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...

0 Fengze Liu, et al. ∙

research

∙ 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...

0 Dazhou Guo, et al. ∙

research

∙ 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...

0 Chi-Tung Cheng, et al. ∙

research

∙ 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...

0 Youbao Tang, et al. ∙

research

∙ 05/03/2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Accurately segmenting a variety of clinically significant lesions from w...

0 Youbao Tang, et al. ∙

research

∙ 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....

0 Xiao-Yun Zhou, et al. ∙

research

∙ 04/12/2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Depending on the application, radiological diagnoses can be associated w...

12 Bowen Li, et al. ∙

research

∙ 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...

0 Ashwin Raju, et al. ∙

research

∙ 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...

0 Fakai Wang, et al. ∙

research

∙ 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...

0 Kang Zheng, et al. ∙

research

∙ 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 ...

0 Bolin Lai, et al. ∙

research

∙ 03/09/2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...

0 Jieneng Chen, et al. ∙

research

∙ 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-...

0 Yirui Wang, et al. ∙

research

∙ 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...

0 Fakai Wang, et al. ∙

research

∙ 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 ...

0 Bolin Lai, et al. ∙

research

∙ 12/12/2020

Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation

Gross tumor volume (GTV) delineation on tomography medical imaging is cr...

4 Chun-Hung Chao, et al. ∙

research

∙ 12/09/2020

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Monitoring treatment response in longitudinal studies plays an important...

17 Jinzheng Cai, et al. ∙

research

∙ 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 ...

0 Tianyi Zhao, et al. ∙

research

∙ 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...

0 Xinyu Zhang, et al. ∙

research

∙ 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...

0 Ke Yan, et al. ∙

research

∙ 12/02/2020

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Accurate segmentation of anatomical structures is vital for medical imag...

10 Yuhang Lu, et al. ∙

research

∙ 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...

9 Ke Yan, et al. ∙

research

∙ 09/05/2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Mask-based annotation of medical images, especially for 3D data, is a bo...

0 Ashwin Raju, et al. ∙

research

∙ 08/30/2020

Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Identifying, measuring and reporting lesions accurately and comprehensiv...

2 Jinzheng Cai, et al. ∙

research

∙ 08/29/2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...

9 Chun-Hung Chao, et al. ∙

research

∙ 08/27/2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...

5 Zhuotun Zhu, et al. ∙

research

∙ 08/26/2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

12 Jiawen Yao, et al. ∙

research

∙ 08/24/2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...

19 Ling Zhang, et al. ∙

research

∙ 08/07/2020

Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...

0 Bowen Li, et al. ∙

research

∙ 07/28/2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

Recently, single-stage embedding based deep learning algorithms gain inc...

0 Mengyang Zhao, et al. ∙

research

∙ 07/06/2020

Learning to Segment Anatomical Structures Accurately from One Exemplar

Accurate segmentation of critical anatomical structures is at the core o...

0 Yuhang Lu, et al. ∙

research

∙ 07/03/2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images

Visual cues of enforcing bilaterally symmetric anatomies as normal findi...

0 Haomin Chen, et al. ∙

research

∙ 06/28/2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...

0 Yuankai Huo, et al. ∙

research

∙ 06/03/2020

CircleNet: Anchor-free Detection with Circle Representation

Object detection networks are powerful in computer vision, but not neces...

0 Haichun Yang, et al. ∙

research

∙ 05/28/2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...

5 Ke Yan, et al. ∙

Le Lu

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