Abstracts

Zheng Zhang, Sang Ho Lee, Richard Caruana, Yong Fan, Gary Kao, Steven Feigenberg, Ying Xiao: Circulating Tumor Cell Assay Enables Prediction of Recurrence Following Stereotactic Body Radiotherapy for Early-Stage Non-Small Cell Lung Cancer: An Interpretable Machine Learning Study, the Annual Meeting Scientific Program Committee of the American Society for Radiation Oncology (ASTRO), October 24-27, 2021
Rilwan Babajide, Katerina Lembrikova, Justin Ziemba, Yong Fan, Gregory Tasian: Automated machine learning segmentation and measurement of urinary stones on CT scan, AUA2021 Annual Meeting, The Journal of Urology 206 (Supplement 3), e215-e215, September 10, 2021
John Weaver, Karen Milford, Mandy Rickard, Zhicheng Jiao, Bernarda Viteri, Lauren Erdman, Marta Skreta, Daniel Keefe, Salima Shah, Antoine Selman Fermin, Dana Weiss, Christopher Long, Armando Lorenzo, Yong Fan, Gregory Tasian: Deep learning based algorithm assessment of ultrasound images predicts the development of renal failure in children with posterior urethral valves, AUA2021 Annual Meeting, The Journal of Urology 206 (Supplement 3), e793-e793, September, 2021
Hongming Li, Zhi-De Deng, Desmond Oathes, Yong Fan: Real-time computation of transcranial magnetic stimulation electric fields using self-supervised deep learning, Brain & Human Body Modeling (BHBM) – Online Local Conference, August 2021
Sang Ho Lee, Gary Kao, Steve Feigenberg, Yong Fan, Ying Xiao: Multi-Group Multi-Block Data Integration for Harmonizing 18F-FDG-PET/CT Radiomics Associated with Circulating Tumor Cells and Predicting Recurrence-Free Survival Across Independent Lung Cancer Radiotherapy Studies, 63^rd Annual Meeting of AAPM 20201, July 25-29, 2021. Jack Krohmer Early-Career Investigator Competition Winner
Hongming Li, Zhi-De Deng, Desmond Oathes, Yong Fan: Self-supervised deep learning for precise modeling of transcranial magnetic stimulation electric fields in real-time, Second International Workshop on Non-Invasive Brain Stimulation (NIBS), June 2021
Tianming Du, Yuemeng Li, Honggang Zhang, Stephen Pickup, Rong Zhou, Hee Kwon Song, and Yong Fan: Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation, Annual Meeting of the International Society for Magnetic Resonance in Medicine, May 15-20, 2021, ePoster
Yuemeng Li, Hee Kwon Song, Miguel Romanello Giroud Joaquim, Stephen Pickup, Rong Zhou, and Yong Fan: Deep Learning of ADC Maps from Under-sampled Diffusion-Weighted Radially Sampled MRI, Annual Meeting of the International Society for Magnetic Resonance in Medicine, May 15-20, 2021, ePoster
Hongming Li, Yong Fan: Identifying Personalized Functional Networks Through Self-supervised Deep Learning, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9):S358, May 01, 2021
Zaixu Cui, Adam Pines, Hongming Li, Tyler Moore, Azeez Adebimpe, Jacob Vogel, Sheila Shanmugan, Bart Larsen, Maxwell Bertolero, Raquel Gur, Ruben Gur, Desmond Oathes, Aaron Alexander-Bloch, David Roalf, Russell Shinohara, Daniel Wolf, Christos Davatzikos, Danielle Bassett, Damien Fair, Yong Fan, Theodore Satterthwaite: Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S360, MAY 01, 2021
Sheila Shanmugan, Jakob Seidlitz, Zaixu Cui, Azeez Adebimpe, Danielle S. Bassett, Maxwell A. Bertolero, Christos Davatzikos, Damien A. Fair, Raquel E. Gur, Ruben C. Gur, Hongming Li, Adam Pines, Armin Raznahan, David R. Roalf, Russell T. Shinohara, Jacob Vogel, Daniel H. Wolf, Yong Fan, Aaron Alexander-Bloch, Theodore D. Satterthwaite: Sex Differences in Functional Topography of Association Networks, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S178, MAY 01, 2021
Gyujoon Hwang, Edward S Brodkin, Ganesh B Chand, Dominic B Dwyer, Junhao Wen, Guray Erus, Jimit Doshi, Dhivya Srinivasan, Erdem Varol, Aristeidis Sotiras, Paola Dazzan, Rene S Kahn, Hugo G Schnack, Marcus V Zanetti, Eva Meisenzahl, Geraldo F Busatto, Benedicto Crespo-Facorro, Christos Pantelis, Stephen J Wood, Chuanjun Zhuo, Russell T Shinohara, Haochang Shou, Yong Fan, Nikolaos Koutsouleris, Raquel E Gur, Ruben C Gur, Theodore D Satterthwaite, Daniel H Wolf, Christos Davatzikos: Three Distinct Neuroanatomical Subtypes of Autism Spectrum Disorder, Revealed via Machine Learning, and Their Similarities With Schizophrenia Subtypes, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S374-S375
Junhao Wen, Ganesh Chand, Dominic Dwyer, Guray Erus, Gyujoon Hwang, Aristeidis Sotiras, Dhivya Srinivasan, Jimit Doshi, Alessandro Pigoni, Paola Dazzan, Rene Kahn, Hugo G Schnack, Marcus V Zanetti, Eva Meisenzahl, Geraldo F Busatto, Benedicto Crespo-Facorro, Christos Pantelis, Stephen J Wood, Chuanjun Zhuo, Russell T Shinohara, Haochang Shou, Yong Fan, Ruben C Gur, Raquel E Gur, Theodore Satterthwaite, Nikolaos Koutsouleris, Daniel H Wolf, Christos Davatzikos: Patterns of Structural Covariance Abnormalities and Clinical Correlations in Schizophrenia, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S371-S372
Zhicheng Jiao, Hongming Li, Ying Xiao, Maya Galperin-Aizenberg, Daniel Pryma, Charles Simone, Steven Feigenberg, Gary Kao, Yong Fan: Integration of risk of survival measures estimated from pre- and post-treatment CT scans improves stratification of early stage non-small cell lung cancer patients treated with stereotactic body radiation therapy, Annual Meeting of the American Society for Radiation Oncology (ASTRO), Oct 2020, ePoster
Zhicheng Jiao, Hongming Li, Ying Xiao, Steven Feigenberg, Gary Kao, Yong Fan: Integrating radiomics and circulating tumor cell analysis improves prediction of treatment outcomes of early stage NSCLC patients treated with SBRT. Annual Meeting of the American Society for Radiation Oncology (ASTRO), Oct 2020, Quick Pitch oral
Sang Ho Lee, Huaizhi Geng, Haoyu Zhong, Yong Fan, Mark Rosen, Ying Xiao: Intratumoral Radiomics and Dosiomics Biomarkers for Predicting Overall Survival in the RTOG 0617 Clinical Trial, Annual Meeting of the American Society for Radiation Oncology (ASTRO), Oct 2020, Quick Pitch oral
Sang Ho Lee, Gary Kao, Steven Feigenberg, Jay Dorsey, Melissa Frick, Samuel Jean-Baptiste, Chibueze Uche, Yong Fan, Ying Xiao: Predicting Circulating Tumor Cells from Intratumoral Radiomic Heterogeneity of 18F-FDG-PET/CT in Early Stage Non-small Cell Lung Cancer Treated with Stereotactic Body Radiation Therapy. Annual Meeting of the American Society for Radiation Oncology (ASTRO), Oct 2020, ePoster
Sang Ho Lee, Huaizhi Geng, Haoyu Zhong, Yong Fan, Mark Rosen, Ying Xiao: Deep neural network for survival analysis using intratumoral radiomics and dosiomics in the TROG 0617 clinical trial, the 2020 Joint AAPM|COMP meeting, July 12–16, 2020, Blue Ribbon e-poster
Sang Ho Lee, Gary Kao, Steven Feigenberg, Jay Dorsey, Melissa Frick, Samuel Jean-Baptiste, Chibueze Uche, Yong Fan, Ying Xiao: Multi-block discriminant analysis of integrative 18F-FDG-PET/CT radiomics for predicting circulating tumor cells in early stage non-small cell lung cancer treated with stereotactic body radiation therapy, the 2020 Joint AAPM|COMP meeting, July 12–16, 2020, Oral
Antonia Kaczkurkin, Aristeidis Sotiras, Erica Baller, Ran Barzilay, Monica E. Calkins, Ganesh Chand, Zaixu Cui, Guray Erus, Yong Fan, Raquel E. Gur, Ruben C. Gur, Tyler M. Moore, David Roalf, Adon F.G. Rosen, Kosha Ruparel, Russell Shinohara, Erdem Varol, Daniel Wolf, Christos Davatzikos, Theodore D. Satterthwaite: Neurostructural Heterogeneity in Youth With Internalizing Symptoms, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 87(9): S28, May 01, 2020
Daniel Wolf, Ganesh Chand, Dominic Dwyer, Guray Erus, Aristeidis Sotiras, Erdem Varol, Dhivya Srinivasan, Jimit Doshi, Raymond Pomponio, Alessandro Pigoni, Paola Dazzan, Rene S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Christos Pantelis, Stephen Wood, Chuanjun Zhuo, Russell T. Shinohara, Haochang Shou, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Christos Davatzikos: Two Neuroanatomical Subtypes of Schizophrenia Defined by Multi-Site Machine Learning, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 87(9): S28-S29, May 01, 2020
Ganesh Chand, Daniel H. Wolf, Guray Erus, Dhivya Srinivasan, Dominic B. Dwyer, Raymond Pomponio, Aristeidis Sotiras, Erdem Varol, Jimit Doshi, Alessandro Pigoni, Paola Dazzan, Rene S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Haochang Shou, Yong Fan, Nikolaos Koutsouleris, Tyler M. Moore, Raquel E. Gur, Ruben C. Gur, Theodore D. Satterthwaite, Christos Davatzikos: Neuroanatomical Dimensional Phenotypes of Schizophrenia: Expression in Youth With Psychosis-Spectrum Symptoms and Correlation With Cognition, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 87(9): S119, May 01, 2020
N. Sasankan, H. Geng, H. Zhong, Yong Fan, M. Rosen, J.D. Bradley, J. Cao, Y. Garces, P. Iyengar, V.S. Kavadi, C.G. Robinson, J.W. Welsh, S. Narayan, R.M. MacRae, R. Gaur, W.J. Curran, G.M. Videtic, A. Pu V, C.D. Koprowski, Y. Xiao: Radiomic Biomarkers Evaluation of the High Dose Arm of RTOG 0617. International Journal of Radiation Oncology*Biology*Physics 105(1, Supplement): S119-S120, Sep 2019
H. Zhong, M. Athamnah, M. Huang, H. Geng, C. Cheng, K. Men, M. Rosen, D. I. Rosenthal, W. L. Thorstad, V. Bar Ad, A. Trotti, M. Roach III, E. M. Gore, M. Birrer, D. Raben, G. Shenouda, R. L. Foote, Yong Fan, and Y. Xiao: Comparisons of Outcome Prediction Performance between Radiomics Features and Clinical Features Based on NRG Oncology/RTOG-0522. International Journal of Radiation Oncology • Biology • Physics 105(1): S82-S83, Sep 2019.
Hongming Li, Yong Fan: Accurate hippocampus segmentation using fully convolutional networks with residual connections and fused deep supervision. Alzheimer's Association International Conference (AAIC), Jul 2019.
Hongming Li, David A. Wolk, Yong Fan: Early prediction of cognitive decline based on brain MRI images using a deep learning survival analysis model. Alzheimer's Association International Conference (AAIC), Jul 2019.
N Sasankan, H Geng, H Zhong, Yong Fan, M Rosen, Y Xiao: Identifying Predictive Radiomic Markers for Patients in RTOG0617 Using Multiple Feature Selection Methods Medical Physics 46(6): E336-E336, Jun 2019.
K Men, H Geng, H Zhong, Yong Fan, A Lin, Y Xiao: A Deep Learning Method for Xerostomia Prediction in Head-And-Neck Radiotherapy. Medical Physics 46(6): E293-E294, Jun 2019.
Yong Fan, Hongming Li, Pamela J. Boimel, Ying Xiao, Edgar Ben-Josef, Maya Galperin-Aizenberg, Daniel Pryma, Mark Rosen, Peter O'Dwyer, Rong Zhou: Machine/Deep Learning for Cancer Imaging Studies. Co-Clinical Imaging Research Resources Program (CIRP), 2019 Meeting May 2019.
Ganesh B Chand, Dominic B Dwyer, Guray Erus, Aristeidis Sotiras, Erdem Varol, Dhivya Srinivasan, Ruben C Gur, Raquel E Gur, Paola Dazzan, Rene S Kahn, Hugo G Schnack, Marcus V Zanetti, Geraldo F Busatto, Benedicto Crespo Facorro, Christos Pantelis, Chuanjun Zhuo, Yong Fan, Theodore D Satterthwaite, Daniel H Wolf, Nikolaos Koutsouleris, Christos Davatzikos: Neuroanatomical Heterogeneity of Schizophrenia Quantified via Semi-Supervised Machine Learning Reveals Two Distinct Subtypes: Results From the PHENOM Consortium. Biological Psychiatry 85(10): S205-S206, May 2019.
Aristeidis Sotiras, Guray Erus, Monica Truelove-Hill, Antonia Kaczkurkin, Ganesh B Chand, Chiharu Sako, Dominic B Dwyer, Ruben C Gur, Raquel E Gur, Yong Fan, Theodore D Satterthwaite, Nikolaos Koutsouleris, Daniel H Wolf, Christos Davatzikos: Multivariate Pattern Analysis Reveals Structural Brain Network Abnormalities in Schizophrenia Biological Psychiatry 85(10): S117-S118, May 2019 Notes: Oral.
Hongru Li, Ena Egbodza, Harrison X. Bai, Dhanya Mahesh, Anirudh Bikmal, Xia Tan, Qin Shen, Hao Zhou, Ken Chang, Raymond Y. Huang, Paul J. Zhang, Yong Fan, Li Yang, Bryan A. Pukenas, Zhiping Hu, John H. Woo, Bo Xiao: Prediction of Outcome after Endovascular Treatment of Large Vessel Ischemic Stroke Using the Alberta Stroke Program Early Computed Tomography Score (ASPECTS), the 143rd Annual Meeting of American Neurological Association (ANA), Oct 2018
Mohamad Habes, Guray Erus, Aristeidis Sotiras, Jimit Doshi, Yong Fan, Ilya Nasrallah, David A. Wolk, and Christos Davatzikos: Imaging Signatures of AD, Brain Aging and White Matter Hyperintensities Show Dissociable Associations with Cognitive Decline in Healthy Subjects Longitudinally Followed in ADNI. The Alzheimer's Association International Conference (AAIC 2018), Jul 2018.
M. Huang, H.Zhong, P.Boimel, J.Janopaul-Naylor, K.Men, H.Geng, C.Cheng, P.Gabriel, Yong Fan, L. Ungar, M. Rosen, E. Ben-Josef, Y. Xiao: Rectal Cancer Survival Outcome Prediction Based On Radiomics Features for Different Imaging Modalities. Annual meeting of American Association of Physics in Medicine Jul 2018 Notes: oral.
K. Men, P. Boimel, J. Janopaul-Naylor, H. Zhong, M. Huang, H. Geng, C. Cheng, Yong Fan, J. Plastaras, E. Ben-Josef, Y. Xiao: Atrous Convolution and Spatial Pyramid Pooling for More Accurate Tumor Segmentation in MR Images. Annual meeting of American Association of Physics in Medicine, Jul 2018 Notes: Oral.
Jie Li, Chenhui Mao, Bo Hou, Feng Feng, Yong Fan, Caiyan Liu, Liling Dong, Xinying Huang, Dan Lei, and Jing Gao: A Dynamic MRI Observation of Patients with AD and FTLD. The Alzheimer's Association International Conference (AAIC 2018), Jul 2018.
Hongming Li, Teresa Martin-Carreras, K. Cooper, Ronnie Sebro, and Yong Fan: Distinguishing Myxomas From Myxofibrosarcomas Using Radiomic Features Extracted From T1 MRI. Annual meeting of American Association of Physics in Medicine, Jul 2018
Hongming Li, Mohamad Habes, Yong Fan: A deep learning prognostic model for early prediction of Alzheimer's disease based on hippocampal MRI data, Alzheimer's Association International Conference 2018 Jul 2018 Notes: Oral presentation.
Hongming Li, Jinzhong Yang, Ying Xiao, and Yong Fan: Accurate Hippocampus Segmentation Using Fully Convolutional Networks and Deformable Image Registration Based Data Augmentation. Annual meeting of American Association of Physics in Medicine, Jul 2018 Notes: Oral.
Hongming Li and Yong Fan: Early prediction of Alzheimer's disease based on 1-year follow-up cognitive measures using deep recurrent neural networks. Alzheimer's Association International Conference 2018, Jul 2018 Notes: Poster presentation.
Xiaofeng Zhu, Hongming Li, Yong Fan: Sex-specific pattern classification models better distinguish schizophrenia patients from healthy controls based on resting state fMRI Data. 2018 OHBM Annual Meeting, Jun 2018.
Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, and Hao Huang: Regularized-Ncut: Robust functional parcellation of brain networks. ISMRM 2018 Annual Meeting, Jun 2018.
Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, and Hao Huang: Neonate Functional Brain Networks and Distinctive Intra-Network Connectivity, ISMRM 2018 Annual Meeting, Jun 2018.
Paul Regier, Jieqiong Wang, H Rao, Yong Fan, Anna Rose R. Childress: Aberrant Functional Connectivity in Large-Scale Brain Networks Distinguishes Cocaine Patients from Controls and is Linked to Drug-use Outcomes. the CPDD 80th Annual Scientific Meeting in Montreal Jun 2018 Notes: Oral Presentation.
Hongming Li, Yong Fan: Identify functional state transitions using recurrent neural networks from functional MRI. 2018 OHBM Annual Meeting, Jun 2018.
Chintan Shah, Meng-Kang Hsieh, Yong Fan, Guray Erus, William Haley, Christos Davatzikos, R Bryan, and Ilya Nasrallah: Functional consequences of hypertension on the brain: White matter lesion burden and connectivity. OHBM 2018 Annual Meeting, Jun 2018.
Gregory Tasian, Qiang Zheng, Sue Furth, Yong Fan: Machine Learning of Ultrasound Imaging to Classify Children with Congenital Abnormalities of the Kidney and Urinary Tract. the 66th Annual Meeting of the Society for Pediatric Urology, May 2018 Notes: Honorable Mention.
Henry Cheng, Qiang Zheng, Xiaofeng Zhu, Amanda M. Smith, Yiwen Qian, Rupal O'Quinn, Frank Silvestry, Yuchi Han, Marielle Scherrer-Crosbie, Victor Ferrari, Kevin Duffy, Dinesh Jagasia, Christos Davatzikos, Yong Fan, and Bonnie Ky: The Use of Machine Learning to Predict Doxorubicin Cardiotoxicity. the American College of Cardiology Meeting (Journal of the American College of Cardiology) 71(11): 1465, Mar 2018 Notes: Oral Presentation, DOI: 10.1016/S0735-1097(18)32006-0.
Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, Charles Simone, Yong Fan: Unsupervised machine learning of radiomic features for predicting treatment response and survival of early-stage non-small cell lung cancer patients treated with stereotactic body radiation therapy. International Journal of Radiation Oncology • Biology • Physics (ASTRO) 99(2): S34, Oct 2017 Notes: ORAL, Physics 2 - Outcome Analysis and Modeling 1
Hongming Li, Haoyu Zhong, Pamela Boimel, Edgar Ben-Josef, Ying Xiao, Yong Fan: Deep convolutional neural networks for imaging based survival analysis of rectal cancer patients, International Journal of Radiation Oncology • Biology • Physics (ASTRO 2017) 99(2): S183, Oct 2017 Notes: Scientific Session Title: Physics ePoster Discussion 2 - Outcome Analysis and Modeling
H. Zhong, P.J. Boimel, Yong Fan, J. Wang, H. Geng, M. Huang, C. Cheng, M. Rosen, E. Ben-Josef, Y. Xiao: Predicting Overall Survival of Local Advanced Rectal Cancer Patients Treated With Neoadjuvant Chemoradiation Therapy by Radiomic Features Extracted From Planning CTs. International Journal of Radiation Oncology • Biology • Physics (ASTRO 2017) 99(2): E206-E207, Oct 2017.
P.J. Boimel, H. Zhong, J. Janopaul-Naylor, Yong Fan, M. Rosen, J.N. Lukens, Y. Xiao, E. Ben-Josef: Pretreatment MRI Radiomic Features Correlate With Pathologic Response and Metastasis in Patients Receiving Neoadjuvant Chemoradiation for Locally Advanced Rectal Cancer. International Journal of Radiation Oncology • Biology • Physics (ASTRO 2017) 99(2): S190, Sep 2017 Notes: ePoster.
Rui Wang, Rixing Jing, Chuanjun Zhuo, Yong Fan: Aberrant functional modes and abnormal connectivity patterns are coupled in schizophrenia patients. the 2017 OHBM Annual Meeting Jun 2017.
Rixing Jing, Peng Li, Lin Lu, Yong Fan: Altered large scale functional networks in unaffected family members of schizophrenia patients. the 2017 OHBM Annual Meeting Jun 2017.
Reagan R. Wetherill, Hengyi Rao, Teresa R. Franklin, Yong Fan: Pattern classification identified large scale functional networks altered by nicotine use the 2017 OHBM Annual Meeting Jun 2017.
Xianchang Zhang, Hewei Cheng, Zhentao Zuo, Ke Zhou, Bo Wang, Jing An, Lin Chen, Yong Fan, and Rong Xue: Individualized Functional Parcellation of Human Amygdala using a Semi-Supervised Clustering Method based on 7T Resting State fMRI Data. ISMRM - 2017 Annual Meeting Apr 2017.
Hongming Li, Maya Galperin-Aizenberg, Daniel Pryma, Charles B. Simone II, Yong Fan: Predicting treatment response and survival of early-stage non-small cell lung cancer patients treated with stereotactic body radiation therapy using unsupervised two-way clustering of radiomic features. The 2017 International Workshop on Pulmonary Imaging Mar 2017.
Rixing Jing, Peng Li, Rongjiang Zhao, Le Shi, Hongqiang Sun, Lin Lu, Yong Fan: Effects of modified electroconvulsive therapy on the brain functional connectivity in schizophrenia 2016 OHBM Annual Meeting Jun 2016.
Jing Li, Xuewei Zhang, Zhentao Zuo, Jie Lu, Yuzhou Guan, Weihong Zhang, Yong Fan: Changes of Brain Motor Functional Connectivity of Ischemic Stroke Patients in the Resting State after rTMS Treatments. RSNA 2015 Dec 2015.
Linwen Liu, Danny JJ Wang, Yong Fan: Dynamic changes of hippocampal subregional functional connectivity patterns in the developing brain. OHBM Annual Meeting, Jun 2015.
Hongming Li, Yong Fan: Identification of functional brain networks with multi-view non-negative matrix factorization. OHBM Annual Meeting, Jun 2015.
Hewei Cheng, Qiang Wei, Yanghua Tian, Kai Wang, Yong Fan: Altered amygdala subregional functional connectivity due to depression recovered after ECT treatment. OHBM Annual Meeting, Jun 2015 Notes: poster session.
Hancan Zhu, Shile Qi, Yong Fan: Optimal label fusion for multiatlas image segmentation by local similarity metric learning. OHBM Annual Meeting, Jun 2015.
Linweng Liu, Danny JJ Wang, and Yong Fan: Morphological and functional changes in the developing brain during childhood and adolescence. OHBM Annual Meeting, Jun 2014 Notes: Student travel award.
L. Liu, Y. Sun, G. Wang, L. Zhao, J. Feng, L. Lu, Yong Fan, and J. Shi: Genetic susceptibility affects brain structure in heroin addiction patients. OHBM Annual Meeting, Jun 2014 Notes: Poster Presentation.
H. Cheng, Y. Han, K. Wang, and Yong Fan: Abnormal resting-state brain connectivity in patients with Wilson's disease. OHBM Annual Meeting, Jun 2014 Notes: Poster Presentation.
Z. Tang, D. Jiang, and Yong Fan: Group-wise Image Registration based on Dynamic Directed Graph Models. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
Z. Tang, D. Jiang, Yong Fan: Spatial Registration of fMRI Data via Graph Matching of Functional Connectivity Patterns. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
L. Liu, Y. Lv, Q. Guo, and Yong Fan: Gray matter atrophy patterns shared by mild general paresis of the insane, MCI and AD. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
H. Cheng, J. Feng, L. Lu, J. Shi, L. Zhao, and Yong Fan: Resting-state brain connectivity alteration caused by Internet addiction. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
D. Zhang and Yong Fan: Simultaneous Learning for natural image identification from fMRI signals of human brain activity. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
L. Fu, L. Liu, Yong Fan, and J. Tian: Dual-biomarker of 11C-PIB for Alzheimer's disease diagnosis. J NUCL MED MEETING 54(2), May 2013.
L. Yan, Yong Fan, and D. Wang: Reliable Detection of Default Mode Network in Resting-state Perfusion fMRI using pCASL 3D GRASE with Background Suppression. ISMRM 2012 2012 Notes: Poster Presentation.
Y. Du, L. Yan, D.J. Wang, and Yong Fan: Resting-state brain networks in BOLD fMRI and perfusion fMRI. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
X. Zhang, P. Wang, Y. Liu, X. Zhang, T. Jiang, and Yong Fan: The analysis of the conflict resolution in Alzheimer's disease and mild cognitive impairment. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
L. Liu and Yong Fan: Morphological and functional brain alterations associated with Alzheimer's disease. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
H. Zhang, L. Liu, H. Wu, and Yong Fan: Feature selection and SVM classification of multiple modality images for predicting MCI. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
H. Cheng, R. Wang, R. Xue, D.J. Wang, and Yong Fan: Automated multiple vascular territories mapping from VEPCASL MRI using spatial consistent k-means. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
H. Cheng and Yong Fan: Intrinsic functional connectivity based brain parcellation using regularized weighted kernel k-means. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
D. Song, H. Cheng, and Yong Fan: Prior information guided brain parcellation based on resting state fMRI data. OHBM Annual Meeting Jun 2012 Notes: Poster Presentation.
Y. Du and Yong Fan: Group information guided ICA for analysis of multi-subject fMRI data. OHBM Annual Meeting Jun 2011 Notes: Travel Award, Interactive-Poster Presentation.
Pew-Thian Yap, Yong Fan, Yasheng Chen, John H. Gilmore, Weili Lin, Dinggang Shen: Exploring Developmental Structural Connectivity Patterns by In Vivo Diffusion Tensor Imaging Tractography on Longitudinal Pediatric Data. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2010 Notes: Poster Presentation.
Feng Shi, Yong Fan, Pew-Thian Yap, Weili Lin, John Gilmore, Dinggang Shen: Altered small-world properties in newborns at high risk for schizophrenia. Annual Meeting of the International Society for Magnetic Resonance in Medicine, Page: 4385, 2010 Notes: Poster Presentation.
Yong Fan and J.N. Browndyke: MCI diagnosis via manifold based classification of functional brain networks. Alzheimer's & dementia: the journal of the Alzheimer's Association. Elsevier, 6(4, Supplement): S16, Jul 2010 Notes: http://dx.doi.org/10.1016/j.jalz.2010.05.044, Poster Presentation.
Yong Fan, Yong Liu, Yihui Hao, H. Liu, Z. Liu, Tianzi Jiang: Identification of Aberrant Functional connectivity Patterns for Schizophrenia Diagnosis. OHBM Annual Meeting Jun 2010 Notes: Poster Presentation.
Yong Fan, Feng Shi, John Gilmore, Weili Lin, Dinggang Shen: Increased Modularity of the Early Developing Human Brain Anatomical Networks, 95th RSNA Scientific Assembly and Annual Meeting 2009 Notes: Oral Presentation.
Yong Fan, Feng Shi, John Gilmore, Weili Lin, Dinggang Shen: Increased Cost Efficiency of Economical Brain Structural Networks in the Early Developing Brain. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009 Notes: Poster Presentation.
Songyuan Tang, Yong Fan, Hongtu Zhu, Wei Gao, Weili Lin, Dinggang Shen: DTI Smoothing by Hierarchical, Adaptive and Robust Strategy. Annual Meeting of The International Society for Magnetic Resonance in Medicine, 2009 Notes: Poster Presentation.
M. Kim, Yong Fan, Songyuan Tang, Dinggang Shen: High Speed Brain Image Registration. 95th RSNA Scientific Assembly and Annual Meeting, 2009 Notes: Poster Presentation.
Feng Shi, Yong Fan, Songyuan Tang, Katie Cleary, Martin Styner, John Gilmore, Weili Lin, Dinggang Shen: Automatic Segmentation of Brain Tissues for Newborn MRI in Longitudinal Study. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009 Notes: Poster Presentation.
Feng Shi, Yong Fan, Songyuan Tang, John Gilmore, Weili Lin, Dinggang Shen: Measurement of Brain Development in the First Two Years of Life. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009 Notes: Poster Presentation.
Feng Shi, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen: Hybrid Atlas based Tissue Segmentation for Neonatal Brain MRI Acquired Using a Dedicated Phased Array Coil. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009.
Feng Shi, P. Yap, Yong Fan, John Gilmore, Weili Lin, Dinggang Shen: Construction of Probabilistic Atlases for Neonates and One-year-olds. 95th RSNA Scientific Assembly and Annual Meeting 2009 Notes: Poster Presentation.
Yong Fan, Daniel Kaufer, Dinggang Shen: Estimating clinical variables from brain images using Bayesian regression. Alzheimer's & dementia: the journal of the Alzheimer's Association. Elsevier, 5(4, Supplement): P372, 2009 Notes: Poster Presentation DOI: http://dx.doi.org/10.1016/j.jalz.2009.04.1173.
Y. Ou, D. Shen, Yong Fan, J. Zeng, L. Sun, and C. Davatzikos: Optimized Biopsy Procedures for Estimating Gleason Score and Prostate Cancer Volume. MICCAI Prostate Image Workshop Sep 2008 Notes: Poster Presentation.
Christos Davatzikos, Yong Fan, Christopher Clark: MRI-based high-dimensional pattern classification of the Alzheimer's disease neuroimaging initiative Alzheimer's disease, mild cognitive impairment, and healthy controls reveals patterns of atrophy used for individual classification, and predict subsequent cognitive decline. Alzheimer's Association International Conference on Alzheimer's Disease Jul 2008 Notes: Oral Presentation.
Yong Fan, Susan M. Resnick, Dinggang Shen, Michael A. Kraut, Christos Davatzikos: MCI diagnosis via high-dimensional pattern classification with simultaneous utilization of MR and pet-CBF images yields 100% correct classification. Alzheimer's Association International Conference on Prevention of Dementia Jun 2007 Notes: Oral Presentation.
Christos Davatzikos, Yong Fan, Xiaoying Wu, Dinggang Shen, Susan M. Resnick: Complex patterns of structural brain abnormality identified in MCI via high-dimensional pattern classification of MR images may be early markers of Alzheimer’s disease. 10th Annual Conference on Alzheimer's Disease and Related Disorders, Madrid Spain Jul 2006 Notes: Oral Presentation.
Yong Fan, Tianzi Jiang, David J. Evans: A parallel algorithm for deformable model based volumetric segmentation. 8th International Conference on Functional Mapping of the Human Brain, Sendai, Japan Jun 2002 Notes: Poster Presentation.
Yong Fan, Tianzi Jiang, and Xiaodong. Li: Relating cortical potentials to scalp EEG's in a realistically shaped inhomogeneous head model by means of the boundary element method. Proceeding of Biomag2000. J. Nenonen, R.J. Ilmoniemi, and T. Katila (eds.). Helsinki Univ. of Technology, Espoo, Finland, Page: 651-654, 2001 Notes: 12th International Conference on Biomagnetism, Poster Presentation.
Yong Fan, Tianzi Jiang, David J. Evans: Parallel algorithm for BEM based EEG/MEG forward problem. Neuroimage 13(6): S1301, Jun 2001 Notes: Poster Presentation.
Tianzi Jiang, Qing Lu, Yong Fan, Frithjof Kruggel: 3D segmentation of white matter lesions by combining pixons-based techniques with Polya Urn models. Neuroimage 11(5, Supplement 1): S616, May 2000 Notes: Poster Presentation.