Xiaofan Zhang

Orcid: 0000-0003-3999-1449

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


According to our database1, Xiaofan Zhang authored at least 73 papers between 2014 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Elicit and Enhance: Advancing Multimodal Reasoning in Medical Scenarios.
CoRR, May, 2025

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models.
CoRR, May, 2025

PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks.
CoRR, March, 2025

Surgical Action Planning with Large Language Models.
CoRR, March, 2025

Interactive Segmentation and Report Generation for CT Images.
CoRR, March, 2025

MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models.
CoRR, March, 2025

LesionDiffusion: Towards Text-controlled General Lesion Synthesis.
CoRR, March, 2025

Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology.
CoRR, March, 2025

A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation.
CoRR, February, 2025

O1 Replication Journey - Part 3: Inference-time Scaling for Medical Reasoning.
CoRR, January, 2025

MedLSAM: Localize and segment anything model for 3D CT images.
Medical Image Anal., 2025

Maxillofacial bone movements-aware dual graph convolution approach for postoperative facial appearance prediction.
Medical Image Anal., 2025

MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks.
Proceedings of the Information Processing in Medical Imaging, 2025

Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Interactive Evaluation for Medical LLMs via Task-oriented Dialogue System.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

An LLM-based Framework for Biomedical Terminology Normalization in Social Media via Multi-Agent Collaboration.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Deblurring masked image modeling for ultrasound image analysis.
Medical Image Anal., 2024

USFM: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis.
Medical Image Anal., 2024

PathoDuet: Foundation models for pathological slide analysis of H&E and IHC stains.
Medical Image Anal., 2024

MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications.
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

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation.
CoRR, 2024

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification.
CoRR, 2024

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

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

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models.
Big Data Min. Anal., 2024

CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels.
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges.
Proceedings of the Findings of the Association for 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

PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains.
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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