Shaoting Zhang

research

∙ 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...

0 Dongjie Cheng, et al. ∙

research

∙ 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...

0 Ziyan Huang, et al. ∙

research

∙ 03/12/2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Inevitable domain and task discrepancies in real-world scenarios can imp...

0 Huahui Yi, et al. ∙

research

∙ 11/22/2022

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

Generalization to previously unseen images with potential domain shifts ...

0 Ran Gu, et al. ∙

research

∙ 08/19/2022

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

Background and Objective: Existing deep learning platforms for medical i...

15 Guotai Wang, et al. ∙

research

∙ 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 ...

18 Shuwei Zhai, et al. ∙

research

∙ 06/08/2022

Towards Self-supervised and Weight-preserving Neural Architecture Search

Neural architecture search (NAS) algorithms save tremendous labor from h...

16 Zhuowei Li, et al. ∙

research

∙ 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...

0 Hao Fu, et al. ∙

research

∙ 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...

0 Xiangde Luo, et al. ∙

research

∙ 02/17/2022

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications

Image-based characterization and disease understanding involve integrati...

0 Kexin Ding, et al. ∙

research

∙ 01/21/2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

Medical image segmentation has been widely recognized as a pivot procedu...

9 Zhuowei Li, et al. ∙

research

∙ 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...

0 Xiangde Luo, et al. ∙

research

∙ 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...

0 Guotai Wang, et al. ∙

research

∙ 09/18/2021

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

Domain generalizable model is attracting increasing attention in medical...

0 Ran Gu, et al. ∙

research

∙ 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...

0 Lingyun Wu, et al. ∙

research

∙ 07/02/2021

Mixed Supervision Learning for Whole Slide Image Classification

Weak supervision learning on classification labels has demonstrated high...

2 Jiahui Li, et al. ∙

research

∙ 06/28/2021

Multi-Compound Transformer for Accurate Biomedical Image Segmentation

The recent vision transformer(i.e.for image classification) learns non-l...

0 Yuanfeng Ji, et al. ∙

research

∙ 05/27/2021

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation

Deep learning has demonstrated significant improvements in medical image...

0 Jinxi Xiang, et al. ∙

research

∙ 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...

0 Guofeng Lv, et al. ∙

research

∙ 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...

8 Xiangde Luo, et al. ∙

research

∙ 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) ...

10 Wenhui Lei, et al. ∙

research

∙ 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...

38 Lu Wang, et al. ∙

research

∙ 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...

0 Wenhui Lei, et al. ∙

research

∙ 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...

0 Xiangde Luo, et al. ∙

research

∙ 11/01/2020

Learning Euler's Elastica Model for Medical Image Segmentation

Image segmentation is a fundamental topic in image processing and has be...

19 Xu Chen, et al. ∙

research

∙ 09/16/2020

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation

Aggregating multi-level feature representation plays a critical role in ...

0 Yuanfeng Ji, et al. ∙

research

∙ 09/09/2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Deep learning-based semi-supervised learning (SSL) algorithms have led t...

12 Xiangde Luo, et al. ∙

research

∙ 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...

18 Rui Huang, et al. ∙

research

∙ 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...

12 Hui Qu, et al. ∙

research

∙ 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 (...

0 Guotai Wang, et al. ∙

research

∙ 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...

3 Jingyang Zhang, et al. ∙

research

∙ 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...

0 Qi Duan, et al. ∙

research

∙ 10/16/2019

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Recently, deep neural networks have demonstrated comparable and even bet...

0 Peng Liu, et al. ∙

research

∙ 08/13/2019

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation

The 3D morphology and quantitative assessment of knee articular cartilag...

3 Chaowei Tan, et al. ∙

research

∙ 06/04/2019

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

The aim of this study is developing an automatic system for detection of...

0 Rahil Mehrizi, et al. ∙

research

∙ 08/07/2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...

0 Zhiqiang Tang, et al. ∙

research

∙ 06/28/2018

CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...

0 Yu Tian, et al. ∙

research

∙ 12/02/2017

Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...

0 Yan Zhu, et al. ∙

research

∙ 10/19/2017

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...

0 Han Zhang, et al. ∙

research

∙ 12/10/2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Synthesizing high-quality images from text descriptions is a challenging...

0 Han Zhang, et al. ∙

research

∙ 11/08/2016

Multispectral Deep Neural Networks for Pedestrian Detection

Multispectral pedestrian detection is essential for around-the-clock app...

0 Jingjing Liu, et al. ∙

research

∙ 02/04/2016

Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...

0 Shu Wang, et al. ∙

research

∙ 12/09/2015

Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...

0 Feng Zhou, et al. ∙

Shaoting Zhang

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