About Me
Sifan Song
Assistant Professor
Xi'an Jiaotong-Liverpool University
I am an Assistant Professor at Xi'an Jiaotong-Liverpool University and currently a Visiting Scholar with the MIRACLE research group at the University of Science and Technology of China (USTC). My research spans medical imaging AI, foundation-model adaptation, EEG analysis, neural intelligence, embodied AI, and AI agents for biomedical applications.
Before joining XJTLU, I was a Research Fellow at Harvard Medical School and Massachusetts General Hospital from 2024 to 2026, working with the CAMCA research group led by Prof. Quanzheng Li.
I received my PhD in Computer Science from the University of Liverpool (2020-2023), under the supervision of Prof. Jionglong Su and Prof. Jia Meng.
During my PhD studies, I was a Visiting Student with the MIRACLE research group at USTC, supervised by Prof. Shaohua (Kevin) Zhou, and at The Chinese University of Hong Kong, Shenzhen, supervised by Dr. Jiaming Zhang.
I hold master's degrees in Artificial Intelligence from the University of Southampton and Bioinformatics from the University of Edinburgh.
Research Interests
- Medical imaging AI: segmentation, restoration, and generation across CT, MRI, PET, ophthalmic imaging, and multimodal biomedical data.
- Foundation-model adaptation: parameter-efficient fine-tuning, promptable models, and transfer across medical tasks and imaging domains.
- Anatomy-aware representation learning: organ-wise tokenization and structured representations for medical image understanding.
- EEG analysis and neural intelligence: representation learning for neural signals, with interests in brain activity, cognition, and brain-inspired computation.
- Embodied AI: connecting multimodal perception, reasoning, and action in agents that interact with physical environments.
- Large language models and AI agents: integrating multimodal information, interpretable reasoning, and tools for biomedical research and applications.
Full Publications
J Transl Med 2026ProptoView: AI-based digital exophthalmometry using multi-view facial images in a multinational validation study (Journal of Translational Medicine 24 (1), 846, 2026)
arXiv 2026ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration (arXiv preprint arXiv:2610.12337, 2026)
MICCAI 2026ECLIPSE: EHR-Constrained Localized Inference for Pan-Tumor Segmentation (Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026, LNCS 16883, Springer Nature Switzerland)
MICCAI 2026MedTriage-LM: Anatomically Grounded Visual Phenotype Synthesis for Interpretable ED Triage (Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026, LNCS 16878, 377-387, Springer Nature Switzerland)
MICCAI 2026TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation (International Conference on Medical Image Computing and Computer-Assisted Intervention, 601-611, Springer Nature Switzerland, 2026)
arXiv 2026HPR-SAM: Hierarchical Probabilistic Representation Learning for Prompt-free SAM-based Medical Image Segmentation (arXiv preprint arXiv:2607.06972, 2026)
J Nucl Med 2026Sharpness-Aware Sampling: Enhancing Reliability and Robustness in Low-Dose PET Denoising via Diffusion Models (Journal of Nuclear Medicine 67 (supplement 1), 261446-261446, 2026)
arXiv 2026Attention-Guided Flow-Matching for Sparse 3D Geological Generation (arXiv preprint arXiv:2604.09700, 2026)
SPIE Medical Imaging 2026Stable diffusion posterior sampling via Bayesian denoising for generative sparse-view CT reconstruction (Medical Imaging 2026: Physics of Medical Imaging 13924, 176-180, 2026)
AAAI 2026Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection (Proceedings of the AAAI Conference on Artificial Intelligence 40 (27), 22417-22425, 2026)
Image-Guided Surgery Workshop 2025CryoFlow: Prediction of Frozen Region Growth in Kidney Cryoablation Using a 3D Flow-Matching (International Workshop on Collaborative Intelligence and Autonomy in Image-Guided Surgery, 64-73, Springer Nature Switzerland, 2025)
MICCAI 2025Cascaded 3D Diffusion Models for Whole-Body 3D 18-F FDG PET/CT Synthesis from Demographics (International Conference on Medical Image Computing and Computer-Assisted Intervention, 99-109, Springer Nature Switzerland, 2025)
MICCAI 2025Samed-2: Selective memory enhanced medical segment anything model (International Conference on Medical Image Computing and Computer-Assisted Intervention, 540-550, Springer Nature Switzerland, 2025)
MICCAI 2025MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts (International Conference on Medical Image Computing and Computer-Assisted Intervention)
MICCAI 2025A novel Fourier Adjacency Transformer for advanced EEG emotion recognition (International Conference on Medical Image Computing and Computer-Assisted Intervention, 13-23, Springer Nature Switzerland, 2025)
Pattern Recognition 2025Implicit image-to-image Schrodinger bridge for image restoration (Pattern Recognition 165, 111627, 2025)
IEEE TMI 2025EchoFM: Foundation model for generalizable echocardiogram analysis (IEEE Transactions on Medical Imaging 44 (10), 4049-4062, 2025)
J Nucl Med 2025Parameter-refined PBPK modeling for enhanced dosimetry in 177Lu-PSMA radiopharmaceutical therapy using estimated and personalized parameters (Journal of Nuclear Medicine 66 (supplement 1), 251649-251649, 2025)
J Nucl Med 2025Graph-Based Radiomic Features Enhance cancer diagnosis and treatment evaluation in PET Imaging (Journal of Nuclear Medicine 66 (supplement 1), 251881-251881, 2025)
J Nucl Med 2025Hodgkin Lymphoma-Based Intensity Preprocessing and Foundation Model-Based Automated Segmentation (Journal of Nuclear Medicine 66 (supplement 1), 251631-251631, 2025)
J Nucl Med 2025Radiomic Feature Similarity Predicts Treatment Response: Assessing Inter-Tumor Heterogeneity (Journal of Nuclear Medicine 66 (supplement 1), 251883-251883, 2025)
arXiv 2025Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface (arXiv preprint arXiv:2505.22511, 2025)
arXiv 2025OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging (arXiv preprint arXiv:2505.04899)
SPIE Medical Imaging 2025CT synthesis from MRI using 3D swin UNETR and distillation for upper abdominal radiotherapy treatment planning (Medical Imaging 2025: Physics of Medical Imaging 13405, 563-567, 2025)
arXiv 2025Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model (arXiv preprint arXiv:2503.04966, 2025)
arXiv 2025Developing a PET/CT foundation model for cross-modal anatomical and functional imaging (arXiv preprint arXiv:2503.02824, 2025)
Patterns 2025AI-assisted facial analysis in healthcare: From disease detection to comprehensive management (Patterns, 2025)
ICLR 2025Echopulse: Ecg controlled echocardio-grams video generation (The Thirteenth International Conference on Learning Representations (ICLR 2025), 2025)
IEEE JBHI 2024DualStreamFoveaNet: A dual stream fusion architecture with anatomical awareness for robust fovea localization (IEEE Journal of Biomedical and Health Informatics 28 (12), 7217-7229, 2024)
arXiv 2024Contrastive Learning Via Equivariant Representation (arXiv preprint arXiv:2406.00262, 2024)
arXiv 2024Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising (arXiv preprint arXiv:2403.06069, 2024)
NeurIPS AIM-FM 2024ProMISe: Promptable Medical Image Segmentation using SAM (The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS'24) AIM-FM Poster, 2024)
WACV 2024Distortion-disentangled contrastive learning (Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (Oral), 75-85, 2024)
Medical Image Analysis 2023Gamma challenge: glaucoma grading from multi-modality images (Medical Image Analysis 90, 102938, 2023)
Applied Intelligence 2023From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization (Applied Intelligence 53 (12), 15188-15203, 2023)
ISBI 2023A robust framework of chromosome straightening with vit-patch gan (2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023)
PhD thesis 2023Advanced Representation Learning for Dense Prediction Tasks in Medical Image Analysis (PQDT-Global, 2023)
MICCAI 2022Stepwise feature fusion: Local guides global (International Conference on Medical Image Computing and Computer-Assisted Intervention, 110-120, Springer Nature Switzerland, 2022)
Frontiers in Genetics 2022RC-Net: Regression correction for end-to-end chromosome instance segmentation (Frontiers in Genetics 13, 895099, 2022)
ISBI 2022Bilateral-vit for robust fovea localization (2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022)
Comput Intell Neurosci 2022FECTS: a facial emotion cognition and training system for Chinese children with autism spectrum disorder (Computational intelligence and neuroscience 2022 (1), 9213526, 2022)
CISP-BMEI 2021A novel application of image-to-image translation: Chromosome straightening framework by learning from a single image (2021 14th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI), 1-9, IEEE, 2021)
Applied Sciences 2021Say what you are looking at: an attention-based interactive system for autistic children (Applied Sciences 11 (16), 7426, 2021)
Neural Processing Letters 2021A new convolutional neural network architecture for automatic segmentation of overlapping human chromosomes (Neural Processing Letters 54 (1), 285-301, 2021)
Frontiers in Neurorobotics 2021Intention understanding in human-robot interaction based on visual-nlp semantics (Frontiers in Neurorobotics 14, 610139, 2021)
ICAART 2021A framework of hierarchical deep Q-network for portfolio management. (ICAART (2), 132-140, 2021)
IEEE Access 2021An event-triggered low-cost tactile perception system for social robot's whole body interaction (IEEE Access 9, 80986-80995, 2021)
IEEE ICMA 2020Learning bionic motions by imitating animals (2020 IEEE International Conference on Mechatronics and Automation (ICMA), 872-879, IEEE, 2020)
ICMLC 2020Image captioning in Chinese and its application for children with autism spectrum disorder (Proceedings of the 2020 12th International Conference on Machine Learning and Computing, 426-432, 2020)
CISP-BMEI 2018Chromosome classification with convolutional neural network based deep learning (2018 11th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics (CISP-BMEI), 1-5, IEEE, 2018)
Education and Experience
- 2026 - now Assistant Professor, Xi'an Jiaotong-Liverpool University.
- 2024 - 2026 Research Fellow, Harvard Medical School and Massachusetts General Hospital.
- 2020 - 2023 PhD in Computer Science, University of Liverpool.
- 2018 - 2019 MSc in Artificial Intelligence, University of Southampton.
- 2015 - 2016 MSc in Bioinformatics, The University of Edinburgh.
Selected awards
- ISBI 2022 Best Paper Award Finalist for Bilateral-ViT for robust fovea localization.
- MICCAI 2021 Second place in the GAMMA Challenge.
Contact
Email: Sifan.Song@xjtlu.edu.cn
Current publication information is maintained on Google Scholar. Institutional profile information is available from the XJTLU profile.