2024
- [03/09/2024] Hao’s review paper on federated learning for medical image analysis has been accepted by the journal Pattern Recognition. Congratulations!
- [03/07/2024] Yuqi’s survey paper on source-free unsupervised domain adaptation has been accepted by the journal Neural Networks. Congratulations!
- [03/05/2024] Lintao’s work on hybrid MRI representation learning for cognitive trajectory analysis of late-life depression has been accepted by the journal Medical Image Analysis. Congratulations!
- [02/22/2024] Qianqian’s work on brain modularity-based fMRI analysis has been accepted by IEEE Transactions on Biomedical Engineering. Congratulations!
- [01/21/2024] Congratulations to Lintao and Minhui on getting their work accepted at OHBM 2024!
2023
- [10/08/2023] Congratulations to Mengqi on receiving the Best Paper Award at the 14th International Workshop on Machine Learning in Medical Imaging (held in conjunction with MICCAI 2023)!
- [08/05/2023] Our work on self-supervised cerebellum segmentation has been accepted by Nature Communications. Congratulations!
- [07/19/2023] Dr. Liu received the Outstanding Area Chair Award from The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). Congratulations!
- [06/24/2023] Lintao’s paper and Qianqian’s paper have been accepted by MICCAI 2023. Congratulations!
- [05/03/2023] Yuqi’s work on collaborative learning for fMRI harmonization has been accepted by Human Brain Mapping. Congratulations!
- [03/04/2023] Our work on MRI-based progression prediction of subjective cognitive decline has been accepted by IEEE Journal of Biomedical and Health Informatics. Congratulations!
- [01/03/2023] Hao’s paper on domain adaptation toolbox for medical data analysis has been accepted by the journal NeuroImage. Congratulations!
2022
- [11/25/2022] Yuqi’s work on unsupervised functional MRI harmonization has been accepted by the journal Medical Image Analysis. Congratulations!
- [10/26/2022] Our work on resting-state fMRI adaptation was selected as Feature Paper by the journal Brain Sciences.
- [09/18/2022] Dr. Hao Guan received the Best Paper Award for our work on spectrum-based MRI harmonization at the 13th International Workshop on Machine Learning in Medical Imaging. Congratulations!
- [09/17/2022] Our article on estimating brain functional connectivity network via correlation-preserving embedding has been selected as the Highlight Paper by the journal Medical & Biological Engineering & Computing.
- [09/15/2022] Our open-source software, Domain Adaptation Toolbox for Medical data analysis (DomainATM), has been released, designed for fast facilitation and easy customization of cross-domain data adaptation and harmonization methods for biomedical data analysis.
- [08/18/2022] Our work on consistent connectome landscape mining for cross-site brain disease analysis with resting-state fMRI has been accepted by the journal Medical Image Analysis.
- [08/18/2022] One paper on resting-state functional connectivity analysis investigating the association of lifetime concussion history and repetitive head impact exposure in former collegiate American football players has been accepted by the journal PLOS ONE.
- [08/01/2022] Four papers have been accepted by MLMI 2022.
- [06/02/2022] Minhui’s paper on structural MRI adaptation for clinical progression prediction of subjective cognitive decline has been accepted by MICCAI 2022. Congratulations!
- [04/06/2022] One paper on functional and structural MRI fusion for brain disorder analysis has been accepted by the journal of Frontiers In Neuroinformatics. Congratulations!
- [03/16/2022] Yuqi’s abstract on unsupervised functional MRI adaptation has been accepted by the 2022 OHBM Annual Meeting. Congratulations!
2021
- [10/18/2021] One paper on multi-site functional MRI harmonization has been accepted by the journal of Medical Image Analysis. Congratulations!
- [10/07/2021] Our work on multi-modality neuroimage fusion for conversion prediction of subjective cognitive decline has been accepted by the journal of Medical Image Analysis. Congratulations!
- [09/24/2021] Our review paper on domain adaptation for medical image analysis has been accepted by the journal IEEE Transactions on Biomedical Engineering. Congratulations!
- [08/08/2021] Three papers have been accepted by MLMI 2021.
- [07/24/2021] Two papers have been accepted by PRIME 2021.
- [06/24/2021] Dongren Yao has won the Travel Grant awarded by MICCAI 2021.
- [06/15/2021] Our work on neuroimage synthesis has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. Congratulations!
- [05/13/2021] Two papers have been Early Accepted by MICCAI 2021 (early acceptance rate: 13%).
- [04/03/2021] One paper on multi-site MRI harmonization for automated prognosis of neurodegenerative brain disorders has been accepted by Medical Image Analysis.
- [03/29/2021] Our work on modeling dynamic patterns of brain functional connectivity networks has been accepted by Medical Image Analysis.
- [03/15/2021] Two abstracts have been accepted by the 2021 OHBM Annual Meeting.
- [01/26/2021] One paper on multi-task learning for clinical score regression has been accepted by IEEE Transactions on Neural Networks and Learning Systems.
- [01/25/2021] Our work on hypergraph learning-based multimodal data fusion methods for AD diagnosis has been accepted by Frontiers in Neuroscience.
- [01/18/2021] One paper on evaluating the robustness of deep diagnostic models by adversarial attacks has been accepted by Medical Image Analysis.
- [01/08/2021] Two papers on major depressive disorder analysis and mild cognitive impairment progress prediction have been accepted by IEEE International Symposium on Biomedical Imaging (ISBI 2021).
- [01/01/2021] Our work on graph learning-based structural and functional connectivity analysis for brain disorder diagnosis has been accepted by IEEE Transactions on Medical Imaging.
2020
- [10/09/2020] Li Zhang’s survey paper on deep learning for neuroimaging-based brain disorder analysis has been accepted by Frontiers in Neuroscience. Congratulations!
- [10/06/2020] Yunbi Liu has received the Travel Award from MICCAI 2020. Congratulations!
- [10/05/2020] Erkun Yang’s paper on brain image retrieval has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
- [10/04/2020] We are organizing the 11th International Workshop on Machine Learning in Medical Intelligence (MLMI) in conjunction with MICCAI 2020, and it has been held successfully as a fully virtual workshop in Lima, Peru. The proceeding can be found here. [link]
- [09/15/2020] Shuai Wang’s paper on organ segmentation in prostate cancer radiotherapy has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
- [08/02/2020] Four papers have been accepted by the International Workshop on Machine Learning in Medical Imaging (MLMI 2020) and the International Workshop on Domain Adaptation and Representation Transfer (DART 2020).
- [06/23/2020] Three papers have been accepted by MICCAI 2020 (main conference).
- [06/19/2020] Chunfeng Lian’s paper on hybrid network for AD diagnosis has been accepted by IEEE Transactions on Cybernetics. Congratulations!
- [03/17/2020] Yongsheng Pan’s paper on brain disease identification using incomplete multimodality data has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
2019
- [12/19/2019] Tao Zhou‘s paper on multimodal latent feature learning for early dementia diagnosis has been accepted by Medical Image Analysis. Congratulations!
- [11/10/2019] Weida Li’s paper on graph-kernel-based functional alignment of fMRI data has been accepted by AAAI 2020 (Acceptance Rate: 20.6%). Congratulations!
- [11/02/2019] Liang Sun’s paper on brain MRI segmentation has been accepted by IEEE Transactions on Image Processing. Congratulations!
- [10/17/2019] Dongren Yao’s paper on multi-scale graph learning for brain fMRI data analysis has won the Best Paper Award in GLMI 2019. Congratulations!
- [08/13/2019] Yongsheng Pan’s paper on analysis of adolescent brain cognitive development has been accepted by GLMI 2019. Congratulations!
- [08/ 13/2019] Dongren Yao’s paper on multi-template fMRI analysis for ASD/ADHD identification using triplet graph convolutional network has been accepted by GLMI 2019 as Oral Presentation. Congratulations!
- [08/13/2019] Jing Zhang’s paper on unsupervised conditional consensus adversarial learning for domain adaptation has been accepted by MLMI 2019. Congratulations!
- [07/26/2019] Mingliang Wang’s paper on fMRI-based identification of autism from multi-centers has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
- [07/16/2019] Mingliang Wang has won the Best Poster Award in Medical Image Computing Seminar (MICS). Congratulations!
- [07/06/2019] Four papers have been accepted by MICCAI 2019 (main conference).
- [04/18/2019] Tao Zhou’s paper on latent representation learning for incomplete data based AD diagnosis has been accepted by IEEE Transactions on Medical Imaging. Congratulations!
- [03/20/2019] We are organizing the 10th International Workshop on Machine Learning in Medical Imaging (MLMI), held together with MICCAI 2019, in Shenzhen, China. The proceedings could be found here. [link]
- [03/20/2019] We are organizing the 1st International Workshop on Graph Learning in Medical Imaging (GLMI), held together with MICCAI 2019, in Shenzhen, China. The proceedings could be found here. [link]
- [03/18/2019] Yongsheng Pan has won the Best Performance Award (#1 Ranked) in an ISBI Challenge on cell classification. Congratulations!
- [03/17/2019] Mingxia Liu’s paper on the development of weakly-supervised deep learning for brain disease prognosis (based on incomplete data) has been accepted by IEEE Transactions on Cybernetics. Congratulations!
- [01/28/2019] Mingliang Wang’s paper on multi-task AD longitudinal prediction has been accepted by Medical Image Analysis. Congratulations!
2018
- [12/11/2018] Chunfeng Lian’s paper on the development of novel hierarchical FCN for simultaneous atrophy location and AD diagnosis has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. Congratulations!
- [11/01/2018] Mingliang Wang’s paper on fMRI-based discriminative hub detection for brain disease identification has been accepted by AAAI 2019. Congratulations!
- [09/10/2018] Mingxia Liu’s paper on deep learning based joint AD classification and prediction has been accepted by IEEE Transactions on Biomedical Engineering. Congratulations!
- [03/31/2018] Tao Zhou‘s paper on brain-wide genome-wide association study for Alzheimer’s disease diagnosis has been accepted by IEEE Transactions on Biomedical Engineering. Congratulations!
- [03/20/2018] We are organizing the 9th International Workshop on Machine Learning in Medical Imaging (MLMI), held together with MICCAI 2018, in Granada, Spain. The proceedings could be found here. [link]