Search Results for author: Tianming Liu

Found 5 papers, 0 papers with code

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)

no code implementations31 May 2018 Yu Zhao, Xiang Li, Wei zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

Simultaneous modeling of the spatio-temporal variation patterns of brain functional network from 4D fMRI data has been an important yet challenging problem for the field of cognitive neuroscience and medical image analysis.

Brain Decoding

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

no code implementations24 Oct 2017 Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu

In recent years, analyzing task-based fMRI (tfMRI) data has become an essential tool for understanding brain function and networks.

Dictionary Learning Time Series

Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification

no code implementations CVPR 2015 Gong Cheng, Junwei Han, Lei Guo, Tianming Liu

Part model-based methods have been successfully applied to object detection and scene classification and have achieved state-of-the-art results.

General Classification Object Detection +1

Predicting Eye Fixations Using Convolutional Neural Networks

no code implementations CVPR 2015 Nian Liu, Junwei Han, Dingwen Zhang, Shifeng Wen, Tianming Liu

It is believed that eye movements in free-viewing of natural scenes are directed by both bottom-up visual saliency and top-down visual factors.

Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles

no code implementations NeurIPS 2010 Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, Steve Miller, Tianming Liu

Our strategy is to formulate the individual ROI optimization as a group variance minimization problem, in which group-wise functional and structural connectivity patterns, and anatomic profiles are defined as optimization constraints.

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