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papers

Publications (34)

cs.CV2024

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training

Fenghe Tang, Ronghao Xu, Qingsong Yao +5

eess.IV2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Chu Han, Jiatai Lin, Jinhai Mai +15

eess.IV2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists

Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang +8

eess.IV2022

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Jianwei Lin, Jiatai Lin, Cheng Lu +12

cs.CV2025

Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance

Jiahua Xu, Dawei Zhou, Lei Hu +3

eess.IV2025

Towards Computation- and Communication-efficient Computational Pathology

Chu Han, Bingchao Zhao, Jiatai Lin +9

eess.IV2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Chu Han, Xipeng Pan, Lixu Yan +40

eess.IV2022

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge

Jijun Cheng, Xipeng Pan, Feihu Hou +5

eess.IV2024

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model

Jiahua Xu, Dawei Zhou, Lei Hu +5

eess.IV2024

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Wei Fang, Yuxing Tang, Heng Guo +9

eess.IV2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

Jieneng Chen, Yingda Xia, Jiawen Yao +22

eess.IV2022

RestainNet: a self-supervised digital re-stainer for stain normalization

Bingchao Zhao, Jiatai Lin, Changhong Liang +8

eess.IV2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification

Tianpeng Deng, Yanqi Huang, Guoqiang Han +7

eess.IV2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans

Mingze Yuan, Yingda Xia, Xin Chen +10

cs.CV2023

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

Zheren Li, Zhiming Cui, Lichi Zhang +10

cs.CV2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86

eess.IV2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

Kehan Qi, Hao Yang, Cheng Li +4

eess.IV2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation

Cheng Li, Hui Sun, Zaiyi Liu +3

eess.IV2022

Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study

Luyang Luo, Hao Chen, Yongjie Xiao +10

eess.IV2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images

Yuhao Mo, Chu Han, Yu Liu +14

eess.IV2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study

Longfei Li, Rui Yang, Xin Chen +5

cs.CV2023

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data

Wenao Ma, Cheng Chen, Jill Abrigo +6

cs.CV2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Hao Wang, Jiatai Lin, Danyi Li +11

cs.CV2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

Mingze Yuan, Yingda Xia, Hexin Dong +13

eess.IV2024

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8

eess.IV2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

Hexin Dong, Jiawen Yao, Yuxing Tang +11

cs.CV2026

Super-Generalist: Towards Comprehensive and Accurate Medical Image Understanding via Generalist-Specialist Synergy

Shaoteng Zhang, Weiwei Cao, Wanxing Chang +9

eess.IV2021

Annotation-efficient deep learning for automatic medical image segmentation

Shanshan Wang, Cheng Li, Rongpin Wang +12

eess.IV2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

Jiatai Lin, Guoqiang Han, Xipeng Pan +11

cs.CV2023

UOD: Universal One-shot Detection of Anatomical Landmarks

Heqin Zhu, Quan Quan, Qingsong Yao +2

eess.IV2022

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Lingwei Meng, Di Dong, Xin Chen +5

cs.CV2023

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications

Jiatai Lin, Guoqiang Han, Xuemiao Xu +5

cs.CV2024

$M^{2}$Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction

Quan Liu, Jiawen Yao, Lisha Yao +6

cs.CV2026

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology

Xiaojing Guo, Jiatai Lin, Yumian Jia +39