Xiaofan Zhang

Affiliations:
  • Shanghai Jiao Tong University, China
  • University of North Carolina at Charlotte, NC, USA


According to our database1, Xiaofan Zhang authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
IEEE Trans. Medical Imaging, January, 2024

MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens.
CoRR, 2024

CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation.
CoRR, 2024

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring.
CoRR, 2024

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models.
CoRR, 2024

Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray.
CoRR, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.
CoRR, 2024

GuideGen: A Text-guided Framework for Joint CT Volume and Anatomical structure Generation.
CoRR, 2024

Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation.
CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024

GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Hippocampus segmentation after brain tumor resection via postoperative region synthesis.
BMC Medical Imaging, December, 2023

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.
CoRR, 2023

SHA-SCP: A UI Element Spatial Hierarchy Aware Smartphone User Click Behavior Prediction Method.
CoRR, 2023

AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge.
CoRR, 2023

MedLSAM: Localize and Segment Anything Model for 3D Medical Images.
CoRR, 2023

Efficient Subclass Segmentation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automatic Lobe Segmentation Using Attentive Cross Entropy and End-to-End Fissure Generation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

KiUT: Knowledge-injected U-Transformer for Radiology Report Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MidMed: Towards Mixed-Type Dialogues for Medical Consultation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022

Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images.
Medical Image Anal., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR, 2022

Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Large-scale gastric cancer screening and localization using multi-task deep neural network.
Neurocomputing, 2021

One-shot Weakly-Supervised Segmentation in Medical Images.
CoRR, 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.
CoRR, 2021

2018
Large-scale retrieval for medical image analytics: A comprehensive review.
Medical Image Anal., 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2016
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.
IEEE J. Biomed. Health Informatics, 2016

Embedding Label Structures for Fine-Grained Feature Representation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval.
IEEE Trans. Medical Imaging, 2015

High-throughput histopathological image analysis via robust cell segmentation and hashing.
Medical Image Anal., 2015

Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.
Proceedings of the Information Processing in Medical Imaging, 2015

Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Mining Histopathological Images via Composite Hashing and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Mining histopathological images via hashing-based scalable image retrieval.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Scalable mammogram retrieval using Anchor Graph Hashing.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014


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