Author of the publication

A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis.

, , , and . IEEE Trans. Medical Imaging, 43 (4): 1377-1387 (April 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A unified framework for personalized regions selection and functional relation modeling for early MCI identification., , , , and . NeuroImage, (2021)EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning., , , and . CoRR, (2023)Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis., , , and . NeuroImage, (2019)A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis., , , and . CoRR, (2023)Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification., , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 500-509. Springer, (2021)Fine-Grained Attention for Weakly Supervised Object Localization., , , , and . CoRR, (2021)Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification., and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 275-283. Springer, (2018)A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis., , , and . IEEE Trans. Medical Imaging, 43 (4): 1377-1387 (April 2024)Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis., , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 397-406. Springer, (2020)A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals., , , , , , and . CoRR, (2023)