b'Ke Yan'

research

∙ 08/20/2023

HODN: Disentangling Human-Object Feature for HOI Detection

The task of Human-Object Interaction (HOI) detection is to detect humans...

0 Shuman Fang, et al. ∙

research

∙ 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...

0 Fan Bai, et al. ∙

research

∙ 08/09/2023

Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning

The Contrastive Language-Image Pre-training (CLIP) has recently shown re...

0 Qiang Wang, et al. ∙

research

∙ 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 ...

0 Ke Yan, et al. ∙

research

∙ 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...

0 Zi Li, et al. ∙

research

∙ 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...

0 Ke Yan, et al. ∙

research

∙ 07/07/2023

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images

Radiotherapists require accurate registration of MR/CT images to effecti...

0 Xiaoyu Bai, et al. ∙

research

∙ 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-...

0 Fakai Wang, et al. ∙

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

∙ 03/30/2023

Model-agnostic explainable artificial intelligence for object detection in image data

Object detection is a fundamental task in computer vision, which has bee...

0 Milad Moradi, 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

∙ 01/31/2023

Few-Shot Object Detection via Variational Feature Aggregation

As few-shot object detectors are often trained with abundant base sample...

0 Jiaming Han, 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

∙ 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

∙ 05/25/2022

Location-free Human Pose Estimation

Human pose estimation (HPE) usually requires large-scale training data t...

0 Xixia Xu, et al. ∙

research

∙ 03/29/2022

SIOD: Single Instance Annotated Per Category Per Image for Object Detection

Object detection under imperfect data receives great attention recently....

0 Hanjun Li, et al. ∙

research

∙ 03/28/2022

Expanding Low-Density Latent Regions for Open-Set Object Detection

Modern object detectors have achieved impressive progress under the clos...

0 Jiaming Han, et al. ∙

research

∙ 01/26/2022

Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection

Semi-supervised object detection (SSOD) has achieved substantial progres...

0 Chengcheng Ma, 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

∙ 10/10/2021

Transformer-based Dual Relation Graph for Multi-label Image Recognition

The simultaneous recognition of multiple objects in one image remains a ...

0 Jiawei Zhao, 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

∙ 09/16/2021

Heterogeneous Relational Complement for Vehicle Re-identification

The crucial problem in vehicle re-identification is to find the same veh...

0 Jiajian Zhao, et al. ∙

research

∙ 07/20/2021

Discriminator-Free Generative Adversarial Attack

The Deep Neural Networks are vulnerable toadversarial exam-ples(Figure 1...

5 Shaohao Lu, et al. ∙

research

∙ 06/16/2021

Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages

Nowadays, Graph Neural Networks (GNNs) following the Message Passing par...

0 Yi Luo, 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

∙ 04/12/2021

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

∙ 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

∙ 02/10/2021

Memory-Associated Differential Learning

Conventional Supervised Learning approaches focus on the mapping from in...

0 Yi Luo, 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

∙ 12/04/2020

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

∙ 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

∙ 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

∙ 08/19/2020

CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization

Most current pipelines for spatio-temporal action localization connect f...

0 Yuxi Li, 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

∙ 07/21/2020

One Click Lesion RECIST Measurement and Segmentation on CT Scans

In clinical trials, one of the radiologists' routine work is to measure ...

0 Youbao Tang, 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

∙ 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. ∙

research

∙ 05/27/2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...

4 Zhuotun Zhu, et al. ∙

research

∙ 01/21/2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Acquiring large-scale medical image data, necessary for training machine...

3 Jinzheng Cai, et al. ∙

research

∙ 08/12/2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

When reading medical images such as a computed tomography (CT) scan, rad...

6 Ke Yan, et al. ∙

research

∙ 04/30/2019

A self-attention based deep learning method for lesion attribute detection from CT reports

In radiology, radiologists not only detect lesions from the medical imag...

0 Yifan Peng, et al. ∙

research

∙ 04/09/2019

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

In radiologists' routine work, one major task is to read a medical image...

26 Ke Yan, et al. ∙

research

∙ 03/04/2019

Fine-grained lesion annotation in CT images with knowledge mined from radiology reports

In radiologists' routine work, one major task is to read a medical image...

0 Ke Yan, et al. ∙

research

∙ 01/18/2019

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining

Automatic lesion detection from computed tomography (CT) scans is an imp...

2 Youbao Tang, et al. ∙

research

∙ 10/13/2018

Attention Driven Person Re-identification

Person re-identification (ReID) is a challenging task due to arbitrary h...

0 Fan Yang, et al. ∙

Ke Yan

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