Zaiyi Liu

Orcid: 0000-0002-9307-8522

According to our database1, Zaiyi Liu authored at least 62 papers between 2016 and 2024.

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Bibliography

2024
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 2024

2023
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning.
IEEE Trans. Medical Imaging, December, 2023

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.
Medical Image Anal., August, 2023

Joint-phase attention network for breast cancer segmentation in DCE-MRI.
Expert Syst. Appl., August, 2023

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.
Comput. Methods Programs Biomed., August, 2023

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.
IEEE Trans. Medical Imaging, June, 2023

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.
Medical Image Anal., May, 2023

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation.
IEEE Trans. Medical Imaging, 2023

Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications.
CoRR, 2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation.
CoRR, 2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.
CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.
CoRR, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023

UOD: Universal One-Shot Detection of Anatomical Landmarks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

M<sup>2</sup>Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.
IEEE Trans. Medical Imaging, 2022

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation.
IEEE J. Biomed. Health Informatics, 2022

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images.
Neural Networks, 2022

Meta multi-task nuclei segmentation with fewer training samples.
Medical Image Anal., 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.
Medical Image Anal., 2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images.
CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge.
CoRR, 2022

RestainNet: a self-supervised digital re-stainer for stain normalization.
CoRR, 2022

RestainNet: A self-supervised digital re-stainer for stain normalization.
Comput. Electr. Eng., 2022

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients.
IEEE J. Biomed. Health Informatics, 2021

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.
IEEE J. Biomed. Health Informatics, 2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.
CoRR, 2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.
CoRR, 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.
CoRR, 2021

Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review.
Comput. Electr. Eng., 2021

jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.
Briefings Bioinform., 2021

Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation.
Medical Image Anal., 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.
CoRR, 2020

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI.
Biomed. Signal Process. Control., 2020

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.
IEEE Trans. Biomed. Eng., 2018

2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
Medical Image Anal., 2017

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data.
BMC Bioinform., 2017

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Semi-automated enhanced breast tumor segmentation for CT image.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016


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