News & Event

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 of 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.
  • [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 2020Congratulations!
  • [10/05/2020] Erkun Yang’s paper on brain image retrieval has been accepted by IEEE Transactions on Medical ImagingCongratulations!
  • [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 CyberneticsCongratulations!
  • [03/17/2020] Yongsheng Pan’s paper on brain disease identification using incomplete multimodality data has been accepted by IEEE Transactions on Medical ImagingCongratulations!

2019

  • [12/19/2019] Tao Zhou‘s paper on multimodal latent feature learning for early dementia diagnosis has been accepted by Medical Image AnalysisCongratulations!
  • [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 1st place 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 EngineeringCongratulations!
  • [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]