AI News, Xia Jiang, PhD

Welcome to Tianming Liu's homepage!

Dr. Tianming Liu is a Distinguished Research Professor (since 2017)and a Full Professorof Computer Science (since 2015) at UGA.

Before he moved to UGA in 2008, Dr. Liu was a faculty member of Weill Medical College of Cornell University (Assistant Professor, 2007-2008) and Harvard Medical School (Instructor, 2005-2007).

Dr. Liu was a postdoc in neuroimaging in the University of Pennsylvania (2002-2004) and Harvard Medical School (2004-2005).

Dr. Liu received PhD in computer science from Shanghai Jiaotong University in 2002.

Dr. Liu is the recipient of the MicrosoftFellowship Award (2000-2002), the NIH Career Award (2007-2012) and the NSF CAREER Award (2012-2017).

Dr. Liu is aFellow of AIMBE (inducted in 2018)andwas the General Chair of MICCAI 2019.

Teaching Interests: Biomedical Image Analysis, Biomedical Informatics, and Signal/Image Processing Publications (Selected from 330+ Papers) Highlight Journal Papers on Biomedical Image Analysis with Emphasis onBrain Imaging Qinglin Dong, Fangfei Ge, Qiang Ning, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, and Tianming Liu, Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network (VS-DBN), IEEE Transactions on Biomedical Engineering, 2019.

Tuo Zhang, Hanbo Chen, Mir Jalil Razavi, Yujie Li, Fangfei Ge, Lei Guo, Xianqiao Wang, Tianming Liu, Exploring 3-hinge Gyral Folding Patterns among HCP Q3 868 Human Subjects, Human Brain Mapping, 2018.

Fangfei Ge*, Xiao Li*, Mir Jalil Razavi*, Hanbo Chen, Tuo Zhang, Shu Zhang, Lei Guo, Xiaoping Hu, Xianqiao Wang**, Tianming Liu**, Denser Growing Fiber Connections Induce 3-hinge Gyral Folding, *Joint first authors, **Joint correspondence authors, Cerebral Cortex, 2017.

Tuo Zhang*, Mir Jalil Razavi*, Hanbo Chen, Yujie Li, Xiao Li, Longchuan Li, Lei Guo, Xiaoping Hu, Tianming Liu**, Xianqiao Wang**, Mechanisms of Gyral Convolution in Circumferential Direction of Primate Brains,*These authors contributed equally to this work, **Joint correspondence authors, Journal of Computational Neuroscience, 2017.

Tuo Zhang*, Mir Jalil Razavi*, Xiao Li, Hanbo Chen, Tianming Liu**, Xianqiao Wang**, Mechanism of Consistent Gyrus Formation: an Experimental and Computational Study, *These authors contributed equally to this work.

Hanbo Chen, Tao Liu, Yu Zhao, Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Tsien*, Tianming Liu*, Optimization of Large-scale Mouse Brain Connectome via Joint Evaluation of DTI and Neuron Tracing Data, *Joint corresponding authors, NeuroImage, 2015.

Tianming Liu, Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function, *These authors contributed equally to this work, IEEE Transactions on Biomedical Engineering, 2014.

Jinglei Lv*, Xi Jiang*, Xiang Li*, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu, Sparse Representation of Whole-brain FMRI Signals for Identification of Functional Networks, *These authors contributed equally to this work, Medical Image Analysis, 2014.

Jinli Ou*, Zhichao Lian*, Li Xie, Xiang Li, Peng Wang, Yun Hao, Dajiang Zhu, Rongxin Jiang, Yufeng Wang, Yaowu Chen, Jing Zhang**, Tianming Liu**, Atomic Dynamic Functional Interaction Patterns for Characterization of ADHD, *Joint first authors, **Joint corresponding authors, Human Brain Mapping, 35(10):5262-5278, 2014.

Dynamic Bayesian Variable Partition Models, *Joint corresponding authors, Human Brain Mapping, 2013.

Hanbo Chen, Kaiming Li, Dajiang Zhu, Xi Jiang, Yixuan Yuan, Peili Lv, Tuo Zhang, Lei Guo, Dinggang Shen*, Tianming Liu*, Inferring Group-wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering, *Joint corresponding authors, IEEE Transactions on Medical Imaging, 2013.

Fan Deng, Xi Jiang, Dajiang Zhu, Tuo Zhang, Kaiming Li, Lei Guo, Tianming Liu, A functional model of cortical gyri and sulci, Brain Structure and Function, 2013.

Hanbo Chen*, Tuo Zhang*, Lei Guo, Kaiming Li, Xiang Yu, Longchuan Li, Xintao Hu, Junwei Han, Xiaoping Hu**, Tianming Liu**, Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains, *Joint first authors, **Joint corresponding authors, Cerebral Cortex, 2012.

Kaiming Li*, Dajiang Zhu*, Lei Guo, Zhihao Li, Mary Ellen Lynch, Claire Coles, Xiaoping Hu**, Tianming Liu**, Connectomics Signatures of Prenatal Cocaine Exposure Affected Adolescent Brains, *Joint first authors, **Joint corresponding authors, Human Brain Mapping, 2012.

Gang Li, Lei Guo, Jingxin Nie, Tianming Liu, An Automated Pipeline for Cortical Sulcal Fundi Extraction, Medical Image Analysis, Volume 14, Issue 3, Pages 343-359, 2010.

Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Guangbin Cui, Qun Zhao, Stephen Miller, Tianming Liu, Gyral folding pattern analysis via surface profiling, NeuroImage, 2010.

Other Biomedical Image Analysis Journals Papers: IEEE/ACM Technology Journals: Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu, Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder, in press, IEEE Transactions on Cognitive and Developmental Systems, 2019.

via Learned Shot Editing Patterns, IEEE Transactions on Affective Computing, 7(1):29-44, 2015.

Junwei Han, Dingwen Zhang, Shifeng Wen, Lei Guo, Tianming Liu, and Xuelong Li, Two-stage Learning to Predict Human Eye Fixations via Stacked Denoising Autoencoders, IEEE Transactions on Cybernatics, 46(2):487-498, 2015.

60(11):2983-2992, 2013 Tianming Liu, Xintao Hu, Xiaojin Li, Mo Chen, Junwei Han, Lei Guo, Merging Neuroimaging and Multimedia: Methods, Opportunities and Challenges, IEEE Transactions on Human-Machine Systems, 44(2):270-280, 2013.

Junwei Han, Sheng He, Tianming Liu, and Lei Guo, An object-oriented saliency detection framework based on sparse coding representations, IEEE Transactions on Circuits and Systems for Video Technology, 23(12):2009-2021, 2012.

A quantitative zebrafish phenotyping tool for developmental biology and disease modeling.

Stephen Miller, The effects of lutein and zeaxanthin on resting state functional connectivity in older Caucasian adults: A randomized controlled trial,Brain Imaging and Behavior, 2019.

*Joint correspondence authors, Neuroimage: Clinical, 12:100-115, 2016.

Potenza*, Tianming Liu*, Assessing the Effects of Cocaine Dependence and Pathological Gambling Using Group-wise Sparse Representation of Natural Stimulus FMRI Data, *Joint correspondence authors, Brain Imaging and Behavior, 1-13, 2016.

Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Lei Guo, Tianming Liu, Characterizing and Differentiating Task-based and Resting State FMRI Signals via Two-stage Sparse Representations, Brain Imaging and Behavior, 10(1):21-32, 2014.

Jun Fang, Xintao Hu, Junwei Han, Xi Jiang, Dajiang Zhu, Lei Guo, Tianming Liu, Data-driven Analysis of Functional Brain Interactions during Free Listening to Music and Speech, Brain Imaging and Behavior, 9(2):162-177, 2014.

Junwei Han, Lei Guo, Tianming Liu, Fusing DTI and FMRI Data: A Survey of Methods and Applications, NeuroImage, 102:184-191, 2013 Mo Chen, Junwei Han, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Survey of Encoding and Decoding of Visual Stimulus via FMRI:

Xin Zhang, Lei Guo, Xiang Li, Tuo Zhang, Dajiang Zhu, Kaiming Li, Hanbo Chen, Jinglei Lv, Changfeng Jin, Qun Zhao, Lingjiang Li, Tianming Liu, Characterization of Task-free and Task-performance Brain States via Functional Connectome Patterns, Medical Image Analysis, 17(8):1106-1122, 2013.

Jiehuan Sun*, Xintao Hu*, Xiu Huang, Yang Liu, Kaiming Li, Xiang Li, Junwei Han, Lei Guo, Tianming Liu**, Jing Zhang**, Inferring Consistent Functional Interaction Patterns from Natural Stimulus FMRI Data, *Joint first authors, **Joint corresponding authors, NeuroImage, 61(4):987-999, 2012.

Degang Zhang, Lei Guo, Xintao Hu, Kaiming Li, Qun Zhao, Tianming Liu, Increased cortico-subcortical functional connectivity in schizophrenia, Brain Imaging and Behavior, 6(1):27-35, 2012.

Tianming Liu, A few thoughts on brain ROIs, Brain Imaging and Behavior, 5(3):189-202, 2011.

Faraco CC, Unsworth N, Langley J, Terry D, Li K, Zhang D, Tianming Liu, Miller LS., Complex span tasks and hippocampal recruitment during working memory, NeuroImage, 55(2):773-87, 2011.

Deformation invariant attribute vector for deformable registration of longitudinal brain MR images, Computerized Medical Imaging and Graphics, Volume 33, Issue 5, July 2009, Pages 384-398.

Wong, Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field, Computerized Medical Imaging and Graphics, Volume 33, Issue 6, Pages 431-441,2009.

Computerized Medical Imaging and Graphics, Volume 33, Issue 2, Pages 131-139.

neurological manifestation of a systemic disease, Journal of Magnetic Resonance Imaging, 27:732–736, 2008.

Stephen Miller, Intelligence moderates the relation between age and inter-connectivity of resting state networks in older adults,Neurobiology of Aging, 2019.

Jun Liu, Cheng Lyu, Meng Li, Tianming Liu, Sen Song, Joe Tsien, Neural coding of food experiences in the amygdala, Neurobiology of Learning and Memory,2018.

Tsien, Tianming Liu, Transcriptome architecture of adult mouse brain revealed by sparse coding of genome-wide in situ hybridization images,Neuroinformatics, 2017.

Tsien, Brain computation is organized via power-of-two-based permutation logic, †Equal contribution, Frontiers in Systems Neuroscience, 10, 2016.

Mark Haacke, Tianming Liu and Zhifeng Kou, Connectome-scale assessment of structure and function connectivity in mild traumatic brain injury at the acute stage, Neural Plasticity, 12:100-115, 2015.

Hanbo Chen, Hang Xiao, Tianming Liu, Hanchuan Peng, SmartTracing: Self-learning based Neuron Reconstruction, Brain Informatics, 2(3):135-144, 2015.

Junwei Han, Xiang Ji, Xintao Hu, Jungong Han and Tianming Liu, Clustering and Retrieval of Video Shots based on Natural Stimulus FMRI, Neurocomputing, 144:128-137, 2013.

Tsien, Meng Li, Remus Osan, Guifen Chen, Longian Lin, Phillip Lei Wang, Sabine Frey, Julietta Frey, Dajiang Zhu, Tianming Liu, Fang Zhao, Hui Kuang, On initial Brain Activity Mapping of associative memory code in the hippocampus, Neurobiology of Learning and Memory, 105:200-210, 2013.

Degang Zhang, Lei Guo, Dajiang Zhu, Kaiming Li, Longchuan Li, Hanbo Chen, Qun Zhao, Xiaoping Hu**, and Tianming Liu**, Diffusion Tensor Imaging Reveals Evolution of Primate Brain Architectures, **Joint corresponding authors, Brain Structure and Function, 218(6):1429-1450, 2012.

Xiang Li*, Chulwoo Lim*, Kaiming Li, Lei Guo, Tianming Liu, Detecting Brain State Changes via Fiber-Centered Functional Connectivity Analysis, *Joint first authors,Neuroinformatics, 11(2):193-210 2012.

Gray matter volumes and cognitive ability in the epileptogenic brain malformation of periventricular nodular heterotopia.

Epilepsy Behav, Volume 15, Issue 4, Pages 456-460, 2009.

Walsh, A structural basis for reading fluency:

White matter fiber tracts and reading disability in a neuronal migration disorder *These authors contributed equally to this work, Neurology, 69: 2146-2154, 2007.

XY Chen, KS Wong, S Wong, Neuroimaging predictors for cognitive impairment in confluent white matter lesion: Volumetric analyses of 99 brain regions, Dementia and Geriatric Cognitive Disorders, 25(1):67-73, 2007.

Zebrafish lacking Alzheimer presenilin enhancer 2 (Pen-2) demonstrate excessive p53-dependent apoptosis and neuronal loss.

Video abstraction based on fMRI-driven visual attention model, Information Sciences, 281:781-796, 2014.

Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen Wong, ZFIQ: a software package for zebrafish biology, Bioinformatics, 24(3):438-439, 2008.

Segmentation of touching cell nuclei using gradient flow tracking, Journal of Microscopy, 231(Pt 1):47-58, 2008.

Pober, Mutations in megalin, a multi-ligand receptor, cause Donnai-Barrow syndrome characterized by corpus callosum, ocular, neurosensory, craniofacial, and diaphragmatic defects, Nature Genetics, 39(8):957-959, 2007.

Full-length Conference Papers: Biomedical Image Analysis Conferences MICCAI/IPMI/ISBI: Tianming Liu, Dinggang Shen, and Christos Davatzikos, Deformable Registration of Cortical Structures via Hybrid Volumetric and Surface Warping, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Montreal, Canada, 2003, pp.

Tianming Liu, Geoffrey Young, Ling Huang, Nan-Kuei Chen, Stephen TC Wong, 76-space Analysis of Grey Matter Diffusivity: Methods and Applications, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Palm Springs, 2005, pp.

Jingxin Nie, Tianming Liu, Geoffrey Young, Lei Guo, and Stephen TC Wong, Least square conformal mapping with spring energy,International Symposium on Biomedical Imaging (ISBI), Washington DC, 2006, pp.

1308 - 1311.

Hai Li, Tianming Liu, Geoffrey Young, Lei Guo, and Stephen TC Wong, Brain tissue segmentation based on DWI/DTI data,International Symposium on Biomedical Imaging (ISBI), Washington DC, 2006, pp.

442 - 445.

Gang Li, Tianming Liu, Geoffrey Young, Lei Guo, and Stephen TC Wong, Deformation invariant attribute vector for 3D medical image registration,International Symposium on Biomedical Imaging (ISBI), Washington DC, 2006, pp.

1308 - 1311.

Li H, Tianming Liu, Guo L, Stephen TC Wong, Deformable registration of DTI and SPGR images, International Symposium of Biomedical Imaging (ISBI), Washington DC, April 2007.

Li G, Tianming Liu, Nie J, Guo L, Stephen TC Wong, Segmentation of touching cells using gradient flow tracking, International Symposium of Biomedical Imaging (ISBI), Washington DC, April 2007.

Nie J, Tianming Liu, Guo L, Stephen TC Wong, Reconstruction of central cortical surface from brain MRI images: Method and Application, International Symposium of Biomedical Imaging (ISBI), Washington DC, April 2007.

Jingxin Nie, Lei Guo, Tianming Liu, A computational model of cerebral cortex folding, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009.

Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu, Parametric representation of cortical surface folding via polynomials, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009.

Stephen Miller, Tianming Liu, Gyral folding pattern analysis via surface profiling, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009.

Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, Stephen Miller, Tianming Liu, Cortical surface based identification of brain networks using high spatial resolution resting state fMRI data, International Symposium of Biomedical Imaging (ISBI) 2010.

Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Xi Jiang, Fan Deng, Kaiming Li, Dajiang Zhu, Qun Zhao, Tianming Liu, Automatic cortical surface parcellation based on fiber density information, International Symposium of Biomedical Imaging (ISBI) 2010.

Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu, Joint anlaysis of cortical folding pattern, thickness and fiber density using structural and DTI data, International Symposium of Biomedical Imaging (ISBI), 2010.

Tuo Zhang, Lei Guo, Xintao Hu, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu, Joint analysis of fiber shape and cortical folding patterns, International Symposium of Biomedical Imaging (ISBI), 2010.

A dynamic skull model for simulation of cerebral cortex folding, MICCAI 2010.

Bao Ge, Lei Guo, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu, Resting state fMRI-guided fiber clustering, MICCAI 2011.

Anirban Mukhopadhyay, Zhen Qian, Suchi Bhandarkar, Tianming Liu, Sarah Rienhart, Morphological analysis of the left ventricular endocardial surface and its clinical implications, pp.

Jinglei Lv, Tuo Zhang, Xintao Hu, Dajiang Zhu, Kaiming Li, Lei Guo, Tianming Liu, Group-wise connection activation detection based on DICCCOL, pp.

Shu Zhang, Xintao Hu, Jinglei Lv, Tuo Zhang, Xiang LI, Xi Jiang, Lei Guo, Tianming Liu, Learning fMRI-guided predictor of video shot changes, pp.

Dajiang Zhu, Dinggang Shen, Tianming Liu, Connectomics signature for characterization of mild cognitive impairment and schizophrenia, pp.

Dajiang Zhu, Tianming Liu, Sparse representation of working memory processes based on fMRI data, pp.

Tuo Zhang, Dajiang Zhu, Xi Jiang, Lei Guo, Tianming Liu, Group-wise consistent cortical parcellation based on DTI-derived connectional profiles, pp.

Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xiang LI, Xintao Hu, Lei Guo, Tianming Liu, Discovery network-level functional interactions from working memory fMRI data, pp.

Xi Jiang, Jinglei Lv, Dajiang Zhu, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu, Inferring group-wise functional brain activities via point processes, pp.

Potenza, Tianming Liu, Jing Zhang, Exploring functional brain dynamics via a Bayesian connectivity change point model, pp.

Generalized fMRI activation detection via Bayesian magnitude change point model, pp.

Hanbo Chen, Xiang Yu, Xi Jiang, Kaiming li, Longchuan Li, Xintao Hu, Junwei Han, Lei Guo, Xiaoping Hu, Tianming Liu, Evolutionarily-preserved consistent gyral folding patterns across primate brains, pp.

Hanbo Chen, kaiming li, Dajiang Zhu, Lei Guo, Tianming Liu, Group-wise optimization and individualization prediction of structural connectomes, pp.

Zhichao Lian, Xiang Li, thomas young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang, Dynamic network partition via Bayesian connectivity bi-partition change point model, pp.

Tsien, Tianming Liu, Jing Zhang, Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model, pp.

Cheng Lv, Xintao Hu, Junwei Han, Gong Cheng, Lei Guo, Tianming Liu, Exploring consistent functional brain networks during free viewing of videos via sparse representation, pp.

Xi Jiang, Junwei Han, Lei Guo, Tianming Liu, Signal sampling for efficient sparse representation of resting state fMRI data, pp.

Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Tianming Liu, Deriving ADHD biomarkers with sparse coding based network analysis, pp.

Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Lei Guo, Longchuan Li, Xiaoping Hu, Tianming Liu, Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains, pp.

Tuo Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Tianming Liu, Group-wise consistent sulcal fundi segmentation on dMRI-derived ODF features, pp.

Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng, Interactive exemplar-based segmentation toolkit for biomedical image analysis, pp.

Heng Huang, Xintao Hu, Junwei Han, Jinglei Lv, Nian Liu, Lei Guo, Tianming Liu, Latent Source mining in fmri data via deep neural network, pp.

Xiao Li, Tuo Zhang, Xintao Hu, Lei Guo, Tianming Liu, A data-driven method to study brain structural connectivities via joint analysis of microarray data and dMRI data, pp.

Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu, Multiple-demand system identification and characterization via sparse representations of fMRI data, pp.

Lin, Jieping Ye, Tianming Liu, Modeling functional network dynamics via multi-scale dictionary learning and network continuums, pp.

Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu, Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus fMRI data, pp.

Yudan Ren, Xintao Hu, Jinglei Lv, Lei Guo, Junwei Han, Tianming Liu, Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data, pp.

Armin Iraji, Hanbo Chen, Fangfei Ge, Lei Guo, Zhifeng Kou, Tianming Liu, Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury, pp.

Dehua Ren, Yu Zhao, Hanbo Chen, Qinglin Dong, Jinglei Lv, Tianming Liu, 3D functional brain network classification using convolutional neural networks, ISBI 2017.

Hanbo Chen, Yujie Li, Yu Zhao, Jinglei Lv, Tianming Liu, Inter-subject fMRI registration based on functional networks,ISBI 2017.

Shu Zhang, Xiang LI, Lei Guo, Tianming Liu, Exploring human brain activation via nested sparse coding and functional operators,ISBI 2017.

Lin Yuan, Tianming Liu, Dewen Hu, Group-wise sparse representation of resting-state fMRI data for better understanding of schizophrenia,ISBI 2017.

Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen*, Tianming Liu*, A novel framework for groupwise registration of fMRI images based on common functional networks, *Joint correspondence authors,ISBI 2017.

Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren, Junwei Han, Lei Guo, Tianming Liu, FMRI data classification based on hybrid temporal and spatial sparse representation, accepted, ISBI 2017.

Liting Wang, Xintao Hu, Meng Wang, Junwei Han, Shijie Zhao, Lei Guo, Tianming Liu, Decoding dynamic auditory attention during naturalistic experience,ISBI 2017.

Xiao Li, Tuo Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu, Predicting cortical 3-hinge locations via structural connective features,ISBI 2017.

Huan Wang, Ning Qiang, Bao Ge, Tianming Liu, Task fMRI guided fiber clustering via a deep clustering method, ISBI 2020.

Haixing DAI, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu, Optimize CNN model for fMRI signal classification via Adanet-based neural architecture search, ISBI 2020.

Anirban Mukhopadhyay, Zhen Qian, Suchendra Bhandarkar, Tianming Liu, Szilard Voros, Shape analysis of left ventricular endocardial surface and its application in detecting coronary artery disease, Sixth International Conference on Functional Imaging and Modeling of the Heart (FIMH), 2011.

Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu, Exploring auditory network composition during free listening to audio excerpts via group-wise spare representation, pp.

A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth

A quantitative image analysis method to quantify cellular cytoskeleton changes.The method segments cell parts using maker-controlled watershed segmentation.Morphological operation, distance transform and post-processing play important roles.Two texture analysis methods quantify several cytoskeletal features in tumor.It can be used to test different biological hypothesis using cellular image sample.

In this paper, we proposed a quantitative image analysis method to analyze subcellular cytoskeletal changes using a texture analysis method preceded by segmentation of nuclei, cytoplasm and ruffling regions (area except nuclei and cytoplasm).

Overall, this paper not only presents a quantitative image analysis approach to analyze subcellular cytoskeletal architectures but also provides a comprehensive tool for the biologist, pathologist, cancer specialist, and computer scientist to understand cellular and subcellular organization of cells.