b'Yuyin Zhou'

research

∙ 07/21/2023

Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation

Medical imaging has witnessed remarkable progress but usually requires a...

0 Qingyue Wei, et al. ∙

research

∙ 05/31/2023

MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images

Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that ...

16 Hongxu Jiang, et al. ∙

research

∙ 05/31/2023

Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study

Early diagnosis of prostate cancer significantly improves a patient's 5-...

11 Muhammad Imran, et al. ∙

research

∙ 03/22/2023

Distribution Aligned Diffusion and Prototype-guided network for Unsupervised Domain Adaptive Segmentation

The Diffusion Probabilistic Model (DPM) has emerged as a highly effectiv...

0 Haipeng Zhou, et al. ∙

research

∙ 12/20/2022

Unleashing the Power of Visual Prompting At the Pixel Level

This paper presents a simple and effective visual prompting method for a...

0 Junyang Wu, et al. ∙

research

∙ 10/12/2022

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

Learning medical visual representations directly from paired radiology r...

17 Fuying Wang, et al. ∙

research

∙ 09/06/2022

Bag of Tricks for FGSM Adversarial Training

Adversarial training (AT) with samples generated by Fast Gradient Sign M...

32 Zichao Li, et al. ∙

research

∙ 08/25/2022

Masked Autoencoders Enable Efficient Knowledge Distillers

This paper studies the potential of distilling knowledge from pre-traine...

55 Yutong Bai, et al. ∙

research

∙ 06/15/2022

A Simple Data Mixing Prior for Improving Self-Supervised Learning

Data mixing (e.g., Mixup, Cutmix, ResizeMix) is an essential component f...

19 Sucheng Ren, et al. ∙

research

∙ 06/07/2022

Can CNNs Be More Robust Than Transformers?

The recent success of Vision Transformers is shaking the long dominance ...

82 Zeyu Wang, et al. ∙

research

∙ 05/03/2022

In Defense of Image Pre-Training for Spatiotemporal Recognition

Image pre-training, the current de-facto paradigm for a wide range of vi...

6 Xianhang Li, et al. ∙

research

∙ 04/08/2022

CD^2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

Federated learning (FL) is a distributed learning paradigm that enables ...

4 Yiqing Shen, et al. ∙

research

∙ 02/09/2022

Learning to Bootstrap for Combating Label Noise

Deep neural networks are powerful tools for representation learning, but...

14 Yuyin Zhou, et al. ∙

research

∙ 01/04/2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

The spleen is one of the most commonly injured solid organs in blunt abd...

13 Yuyin Zhou, et al. ∙

research

∙ 11/30/2021

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021

A collection of the accepted abstracts for the Machine Learning for Heal...

1 Fabian Falck, et al. ∙

research

∙ 11/23/2021

RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR

Despite the routine use of electronic health record (EHR) data by radiol...

31 Yuyin Zhou, et al. ∙

research

∙ 05/31/2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...

16 Yan Wang, et al. ∙

research

∙ 03/29/2021

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation

Batch Normalization (BN) is one of the key components for accelerating n...

16 Junfei Xiao, et al. ∙

research

∙ 11/25/2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

Leveraging temporal information has been regarded as essential for devel...

10 Yutong Bai, et al. ∙

research

∙ 10/29/2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...

9 Yingwei Li, et al. ∙

research

∙ 05/18/2020

Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

In this paper, we present a novel unsupervised domain adaptation (UDA) m...

6 Shuhao Fu, et al. ∙

research

∙ 04/04/2020

Neural Architecture Search for Lightweight Non-Local Networks

Non-Local (NL) blocks have been widely studied in various vision tasks. ...

5 Yingwei Li, et al. ∙

research

∙ 03/28/2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network

3D Convolution Neural Networks (CNNs) have been widely applied to 3D sce...

8 Qihang Yu, et al. ∙

research

∙ 03/18/2020

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

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

0 Yingda Xia, et al. ∙

research

∙ 12/06/2019

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...

17 Yan Wang, et al. ∙

research

∙ 09/10/2019

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

In this paper, we study physical adversarial attacks on object detectors...

17 Lifeng Huang, et al. ∙

research

∙ 09/03/2019

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

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

0 Yuyin Zhou, et al. ∙

research

∙ 08/21/2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

Automatic abnormality detection in abdominal CT scans can help doctors i...

0 Fengze Liu, et al. ∙

research

∙ 06/23/2019

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

Trauma is the worldwide leading cause of death and disability in those y...

9 Yuyin Zhou, et al. ∙

research

∙ 04/12/2019

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Accurate multi-organ abdominal CT segmentation is essential to many clin...

0 Yuyin Zhou, et al. ∙

research

∙ 01/30/2019

Adversarial Metric Attack for Person Re-identification

Person re-identification (re-ID) has attracted much attention recently d...

0 Song Bai, et al. ∙

research

∙ 12/09/2018

Learning Transferable Adversarial Examples via Ghost Networks

The recent development of adversarial attack has proven that ensemble-ba...

0 Yingwei Li, et al. ∙

research

∙ 04/23/2018

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Accurate and robust segmentation of abdominal organs on CT is essential ...

0 Yan Wang, et al. ∙

research

∙ 04/07/2018

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Deep convolutional neural networks (CNNs), especially fully convolutiona...

0 Yan Wang, et al. ∙

research

∙ 04/07/2018

Semi-supervised multi-organ segmentation via multi-planar co-training

Multi-organ segmentation is a critical problem in medical image analysis...

0 Yuyin Zhou, et al. ∙

research

∙ 03/19/2018

Improving Transferability of Adversarial Examples with Input Diversity

Though convolutional neural networks have achieved state-of-the-art perf...

0 Cihang Xie, et al. ∙

research

∙ 11/13/2017

Visual Concepts and Compositional Voting

It is very attractive to formulate vision in terms of pattern theory Mum...

0 Jianyu Wang, et al. ∙

research

∙ 09/13/2017

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...

0 Qihang Yu, et al. ∙

research

∙ 06/22/2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Automatic segmentation of an organ and its cystic region is a prerequisi...

0 Yuyin Zhou, et al. ∙

research

∙ 03/24/2017

Adversarial Examples for Semantic Segmentation and Object Detection

It has been well demonstrated that adversarial examples, i.e., natural i...

0 Cihang Xie, et al. ∙

research

∙ 12/25/2016

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Deep neural networks have been widely adopted for automatic organ segmen...

0 Yuyin Zhou, et al. ∙

Yuyin Zhou

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