Yutong Xie

Orcid: 0000-0002-6644-1250

Affiliations:

Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
University of Adelaide, Australian Institute for Machine Learning, SA, Australia (2021 - 2024)
Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China (PhD 2021)

According to our database¹, Yutong Xie authored at least 115 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT.

[BibT_eX]

[DOI]

Amr Muhammad Abdo-Salem

João Manuel R. S. Tavares

Ricardo Montoya-del-Angel

Robert Martí

Xavier Lladó

Toufiq Musah

Livingstone Eli Ayivor

CoRR, May, 2026

CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding.

[BibT_eX]

[DOI]

CoRR, May, 2026

See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment.

[BibT_eX]

[DOI]

Mohammad Anas Azeez

Ankan Deria

Zohaib Hasan Siddiqui

Adinath Madhavrao Dukre

CoRR, April, 2026

Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations.

[BibT_eX]

[DOI]

CoRR, April, 2026

MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage.

[BibT_eX]

[DOI]

CoRR, March, 2026

AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis.

[BibT_eX]

[DOI]

CoRR, March, 2026

ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, February, 2026

CMSA-Net: Causal Multi-scale Aggregation with Adaptive Multi-source Reference for Video Polyp Segmentation.

[BibT_eX]

[DOI]

CoRR, February, 2026

DoAtlas-1: A Causal Compilation Paradigm for Clinical AI.

[BibT_eX]

[DOI]

CoRR, February, 2026

A comprehensive analysis of Mamba for 3D volumetric medical image segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Aurora: Adaptive Unified Representation for Robust Ultrasound Analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

A Machine Learning Approach to Predict Biological Age and Its Longitudinal Drivers.

[BibT_eX]

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

SelfAI: Building a Self-Training AI System with LLM Agents.

[BibT_eX]

[DOI]

CoRR, December, 2025

Robust Atypical Mitosis Classification with DenseNet121: Stain-Aware Augmentation and Hybrid Loss for Domain Generalization.

[BibT_eX]

[DOI]

Adinath Madhavrao Dukre

Ankan Deria

Yutong Xie

Imran Razzak

CoRR, October, 2025

Lang2Morph: Language-Driven Morphological Design of Robotic Hands.

[BibT_eX]

[DOI]

CoRR, September, 2025

MedCutMix: A Data-Centric Approach to Improve Radiology Vision-Language Pre-training with Disease Awareness.

[BibT_eX]

[DOI]

CoRR, September, 2025

A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction.

[BibT_eX]

[DOI]

CoRR, September, 2025

Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, July, 2025

TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, July, 2025

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis.

[BibT_eX]

[DOI]

CoRR, July, 2025

PICK: Predict and Mask for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., June, 2025

SAM-aware Test-time Adaptation for Universal Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, June, 2025

Instance-dependent Label Distribution Estimation for Learning with Label Noise.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2025

Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2025

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification.

[BibT_eX]

[DOI]

CoRR, May, 2025

PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images.

[BibT_eX]

[DOI]

CoRR, March, 2025

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation.

[BibT_eX]

[DOI]

CoRR, February, 2025

Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, January, 2025

Advances in attention mechanisms for medical image segmentation.

[BibT_eX]

[DOI]

Comput. Sci. Rev., 2025

Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Geometric Imbalance in Semi-Supervised Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

NavBench: Probing Multimodal Large Language Models for Embodied Navigation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Image-Guided Liver Tumor Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

PedCLIP: A Vision-Language Model for Pediatric X-Rays with Mixture of Body Part Experts.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MedMask: A Self-supervised Vision Foundation Model for Breast Cancer Detection Using Mammograms.

[BibT_eX]

[DOI]

Tajamul Ashraf

Suhaib Salmani

Mohammed Mohsen Peerzada

Ufaq Khan

Yutong Xie

Janibul Bashir

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Filling in the Missing Piece: Advancing Automated Radiology Report Generation with Clinical Insights.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

X-Gen: Enhancing Radiology Report Generation via LLM-Driven Data Augmentation and Decoupled Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

MoE-Enhanced-TTT: Advancing Medical Image Segmentation.

[BibT_eX]

[DOI]

Yuming Chen

Qi Wu

Yutong Xie

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Modeling annotator preference and stochastic annotation error for medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., January, 2024

A human-in-the-loop method for pulmonary nodule detection in CT scans.

[BibT_eX]

[DOI]

Vis. Intell., 2024

Rethinking masked image modelling for medical image representation.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.

[BibT_eX]

[DOI]

Medical Image Anal., 2024

A Survey of Medical Vision-and-Language Applications and Their Techniques.

[BibT_eX]

[DOI]

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

[BibT_eX]

[DOI]

CoRR, 2024

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model.

[BibT_eX]

[DOI]

CoRR, 2024

XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Dataset, Challenge, and Evaluation for Tumor Segmentation Variability.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reciprocal Collaboration for Semi-supervised Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Spot the Difference: Difference Visual Question Answering with Residual Alignment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.

[BibT_eX]

[DOI]

Townim Faisal Chowdhury

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2023

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Attention Mechanisms in Medical Image Segmentation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-modal Adapter for Medical Vision-and-Language Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Transformer-Based Annotation Bias-Aware Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Instance-specific Label Distribution Regularization for Learning with Label Noise.

[BibT_eX]

[DOI]

CoRR, 2022

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Inter-Slice Context Residual Learning for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.

[BibT_eX]

[DOI]

CoRR, 2021

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.

[BibT_eX]

[DOI]

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pairwise Relation Learning for Semi-supervised Gland Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Attention Residual Learning for Skin Lesion Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Medical image classification using synergic deep learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

[BibT_eX]

[DOI]

Yutong Xie

Jianpeng Zhang

Yong Xia

Medical Image Anal., 2019

Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Deep Segmentation-Emendation Model for Gland Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2018

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.

[BibT_eX]

[DOI]

Yutong Xie

Jianpeng Zhang

Yong Xia

CoRR, 2018

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Yutong Xie

Timeline

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