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 90 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

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

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

CoRR, August, 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

NavBench: Probing Multimodal Large Language Models for Embodied Navigation.

[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

ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning.

[BibT_eX]

[DOI]

Tajamul Ashraf

Mohammed Mohsen Peerzada

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, March, 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

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 38: 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

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