Abstracts

  • Weaver J, Logan J, Batavia JV, Weiss D, Long C, Smith A, Zderic S, Gan Z, Godlewski K, Broms R, Antony M, Martin-Olenski M, Huang J, Fan Y, Tasian GE. Deep learning of videourodynamics to predict incident hydronephrosis in patients with Spina Bifida, The Journal of Urology, 211(5S), e83, 2024. https://doi.org/10.1097/01.JU.0001008812.05762.7f.03
  • Maciolek K, Logan J, Fan Y, Tasian GE, Hsi R. Evaluation of an automated CT-based deep learning image segmentation model for stone characterization in difficult-to-image situations. The Journal of Urology, 211(5S), e742, 2024. https://doi.org/10.1097/01.JU.0001008764.86460.8e.02
  • Choi H, Gupta M, Karasic T, Joaquim M, Furth E, Pickup S, Clendenin C, Song HK, Fan Y, Duda J, Gee J, Rosen M, O’Dwyer P, Zhou R. Quantitative MRI metrics and single cell transcriptome reveal effects of stroma-directed drug and chemotherapy in a GEM model of pancreatic cancer. Cancer Res, 84 (2_Supplement), A089, 15 January 2024. https://doi.org/10.1158/1538-7445.PANCA2023-A089
  • Gupta M, Choi H, Furth E, Joaquim M, Pickup S, Clendenin C, Orlen M, Karasic T, Song HK, Fan Y, O’Dwyer P, Vonderheide RH, Rosen M, Stanger BZ, Zhou R. Quantitative MRI metrics capture pancreatic cancer and stroma responses to novel KRAS inhibitor. Cancer Res, 84 (2_Supplement): A09, 15 January 2024. https://doi.org/10.1158/1538-7445.PANCA2023-A098
  • Keller AS, Moore TM, Luo A, Visoki E, Gataviņš MM, Shetty A, Cui Z, Fan Y, Feczko E, Houghton A, Li H, Mackey AP, Miranda-Dominguez O, Pines A, Shinohara RT, Sun KY, Fair DA, Satterthwaite TD, Barzilay R. Highlighting the Role of Multidimensional Childhood Environments in Functional Brain Network Organization and Cognitive Development, Neuropsychopharmacology, 48 (P124), 134-135, 2023. https://www.nature.com/articles/s41386-023-01755-5
  • Lee SH, Yegya-Raman N, Duan L, Li B, Friedes C, Iocolano M, Caruana R, Apte A, Deasy JO, Fan Y, Kao GD, Feigenberg SJ, Xiao Y. Multitask AI Models for the Joint Prediction of Overall Survival, Progression-Free Survival, and Death without Progression as a Composite Endpoint for LA-NSCLC Patients Treated with Chemoradiotherapy, International Journal of Radiation Oncology, Biology, Physics, 117 (2), S54, 2023. https://doi.org/10.1016/j.ijrobp.2023.06.344
  • Duan L, Lee SH, Yegya-Raman N, Wang D, Li B, Friedes C, Iocolano M, Kao GD, Fan Y, Caruana R, Feigenberg SJ, Xiao Y. Interpretable Machine Learning for Predicting Symptomatic Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients Treated with Concurrent Chemoradiotherapy and Immune Checkpoint Inhibitor Consolidation, International Journal of Radiation Oncology, Biology, Physics, 117 (2), e464, 2023. https://doi.org/10.1016/j.ijrobp.2023.06.1664
  • Wang D, Lee SH, Yegya-Raman N, Feigenberg SJ, Kao GD, Largent AL, Friedes C, Iocolano M, McBeth R, Duan L, Li B, Fan Y, Xiao Y. Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy, International Journal of Radiation Oncology, Biology, Physics, 117 (2), e490. https://doi.org/10.1016/j.ijrobp.2023.06.1720
  • Wang J, Li H, Fan Y, Learning brain states from resting state functional MRI data, NANO20.01: Network Analysis and Modeling, Annual Meeting of Society for Neuroscience 2023, Washington DC, November 10-15, 2023
  • Wang J, Li H, Fan Y, Learning personalized functional networks from short resting state functional MRI data”, Resting State Brain Connectivity 2023, Dallas, Texas from September 18-20, 2023.
  • Ma Y, Li H, Oathes DJ, Fan Y. Joint identification of functionally connected cortical-surface and deep-brain structures for TMS treatment, SPIE Nanoscience + Engineering Meeting Information: Emerging Topics in Artificial Intelligence (ETAI) 2023, https://spie.org/OP110, August 20-24, 2023
  • Zhou Z, Li H, Tran CB, Ma Y, Srinivasan D, Abdulkadir A, Wen J, Erus G, Mamourian E, Nasrallah LM, Bryan NR, Wolk DA, Beason-Held L, Resnick SM, Shou H, Davatzikos C, Fan Y. Interpretable deep learning for brain age prediction based on functional connectivity patterns, OHBM 2023, Montréal, Canada, July 22-26, 2023
  • Ma Y, Li H, Zhou Z, Fan Y. A user-friendly toolbox for computing individualized functional networks with quality control, OHBM 2023, Montréal, Canada, July 22-26, 2023
  • Zhou Z, Li H, Tran CB, Ma Y, Srinivasan D, Abdulkadir A, Wen J, Erus G, Mamourian E, Nasrallah LM, Bryan NB, Wolk DA, Beason-Held L, Resnick SM, Shou H, Davatzikos C, Fan Y, Cross-scale functional connectivity patterns of the aging brain learned from the multi-cohort iSTAGing study, Alzheimer's Association International Conference (AAIC), Amsterdam, Netherlands, July 16-20, 2023
  • Antony M, Weaver JK, Martin-Olenski M, Logan J, Broms R, Ostrowski D, Batavia JV, Weiss DA, Long CJ, Smith AL, Huang J, Zderic SA, Fan Y, Tasian GE. Inter- and intra-rater variability of videourodynamic study interpretation among urologic surgeons for patients with Spina Bifida, the Journal of Urology, Vol. 209, Supplement 4, April 2023, Page: e160. https://doi.org/10.1097/JU.0000000000003230.12
  • Wu J, Fischer K, Li Y, Schurhamer B, Largent A, Logan J, Singh A, Garratt J, Ziemba J, Tasian GE, Fan Y. Statistical spatial mapping of kidney stones based on a kidney atlas derived from CT scans. the Journal of Urology, Vol. 209, Supplement 4, April 2023, Page: e669. https://doi.org/10.1097/JU.0000000000003295.12
  • Fischer K, Singh A, Logan J, Schurhamer B, Cao B, Daniel R, McGregor R, Nadeem I, Uppaluri C, Xiang A, Choi E, Li Y, Fan Y, Ziemba J, Tasian GE. Machine learning model to predict likelihood of spontaneous ureteral stone passage. the Journal of Urology, Vol. 209, Supplement 4, April 2023, Page: e201. https://doi.org/10.1097/JU.0000000000003236.01
  • Ostrowski D, Logan J, Antony M, Broms R, Weiss D, Batavia JV, Long C, Smith A, Zderic S, Edwins R, Pominville R, Hannick J, Woo L, Fan Y, Tasian GE, Weaver Jk. Automated urnary tract dilation grading of hydronephrosis on ultrasound imaging using a convolutional neural network. the Journal of Urology, Vol. 209, Supplement 4, April 2023, Page: e231. https://doi.org/10.1097/JU.0000000000003238.20
  • Liu X, Li H, Fan Y. Asymmetric degeneration of the hippocampus predicts risk of Alzheimer’s disease. Alzheimer's Dement., 2022, 18: e066271. https://doi.org/10.1002/alz.066271
  • Wen J, Cui Y, Yang Z, Bao J, Chen J, Erus G, Abdulkadir A, Mamourian E, Singh A, Yang S, Fan Y, Saykin AJ, Thompson PM, Jun GR, Ritchie MD, Shen L, Wolk DA, Shou H, Nasrallah IM, Davatzikos C. Genetic heterogeneity of four MCI/AD neuroanatomical dimensions discovered via deep learning. Alzheimer's Dement., 2022, 18: e065223. https://doi.org/10.1002/alz.065223
  • Chand G, Singhal P, Dwyer DB, Wen J, Erus G, Varol E, Hwang G, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Busatto GF, Crespo-Facorro B, Pantelis C, Wood SJ, Zhuo C, Shou H, Fan Y, Koutsouleris N, Gur RE, Gur RC, Ritchie M, Satterthwaite TD, Wolf DH, Davatzikos C. Two Schizophrenia Neuroanatomical Signatures From the PHENOM Consortium and Their Association With Psychopathology, Cognition, and Genetics in the Population-Level Samples, Biological Psychiatry, 91(9), S323 - S324. https://doi.org/10.1016/j.biopsych.2022.02.817
  • Shanmugan S, Seidlitz J, Cui Z, Adebimpe A, Bassett DS, Bertolero MA, Davatzikos C, Fair DA, Gur RE, Gur RC, Larsen B, Li H, Pines A, Raznahan A, Roalf DR, Shinohara RT, Vogel J, Wolf DH, Fan Y, Alexander-Bloch A, Satterthwaite TD. Sex Differences in the Functional Topography of Association Networks in Youths, Biological Psychiatry, 91(9), Supplement, S366-S367, https://doi.org/10.1016/j.biopsych.2022.02.920
  • Fischer K, Li Y, Schurhamer B, Ziemba J, Fan Y, Tasian GE. Development of a urnary tract atlas using convolutional neural networks. the Journal of Urology, Vol. 207, Supplement 5, May 2022, Page: e574. https://doi.org/10.1097/JU.0000000000002587.11
  • Zhang Z, Lee SH, Caruana R, Fan Y, Kao G, Feigenberg S, Xiao Y. 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 of the American Society for Radiation Oncology (ASTRO), October 24-27, 2021 https://doi.org/10.1016/j.ijrobp.2021.07.544
  • Babajide R, Lembrikova K, Ziemba J, Fan Y, Tasian G. 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 https://doi.org/10.1097/JU.0000000000001990.01
  • Weaver J, Milford K, Rickard M, Jiao Z, Viteri B, Erdman L, Skreta M, Keefe D, Shah S, Fermin AS, Weiss D, Long C, Lorenzo A, Fan Y, Tasian GE.: 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 https://doi.org/10.1097/JU.0000000000002065.04
  • Li H, Deng ZD, Oathes D, Fan Y. Real-time computation of transcranial magnetic stimulation electric fields using self-supervised deep learning, Brain & Human Body Modeling (BHBM) – Online Local Conference, August 2021
  • Lee SH, Kao G, Feigenberg S, Fan Y, Xiao Y. 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, 63rd Annual Meeting of AAPM 20201, July 25-29, 2021. Jack Krohmer Early-Career Investigator Competition Winner. https://w4.aapm.org/meetings/2021AM/programInfo/programAbs.php?sid=9173&aid=58457
  • Hwang G, Abdulkadir A, Erus G, Habes M, Pomponio R, Shou H, Doshi J, Mamourian E, Rashid T, Bilgel M, Fan Y, Sotiras A, Srinivasan D, Morris JC, Marcus DS, Albert MS, Bryan N, Resnick SM, Nasrallah IM, Davatzikos C, Wolk DA. Disentangling Alzheimer’s disease neurodegeneration from typical brain aging using MRI and machine learning. Alzheimer's Dement., 2021, 17: e051532. https://doi.org/10.1002/alz.051532
  • Li H, Deng ZD, Oathes D, Fan Y. 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
  • Du T, Li Y, Zhang H, Pickup S, Zhou R, Song HK, Fan Y. 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
  • Li Y, Song HK, Joaquim MRG, Pickup S, Zhou R, Fan Y. 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
  • Li H, Fan Y. Identifying Personalized Functional Networks Through Self-supervised Deep Learning, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9):S358, May 01, 2021 DOI: https://doi.org/10.1016/j.biopsych.2021.02.892
  • Cui Z, Pines A, Li H, Moore T, Adebimpe A, Vogel J, Shanmugan S, Larsen B, Bertolero M, Gur RE, Gur RD, Oathes D, Alexander-Bloch A, Roalf D, Shinohara R, Wolf D, Davatzikos C, Bassett D, Fair D, Fan Y, Satterthwaite TD. 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, DOI: https://doi.org/10.1016/j.biopsych.2021.02.897
  • Shanmugan S, Seidlitz J, Cui Z, Adebimpe A, Bassett DS, Bertolero MA, Davatzikos C, Fair DA, Gur RE, Gur RC, Li H, Pines A, Raznahan A, Roalf DR, Shinohara RT, Vogel J, Wolf DH, Fan Y, Alexander-Bloch A, Satterthwaite TD. Sex Differences in Functional Topography of Association Networks, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S178, MAY 01, 2021, DOI: https://doi.org/10.1016/j.biopsych.2021.02.453
  • Hwang G, Brodkin ES, Chand GB, Dwyer DB, Wen J, Erus G, Doshi J, Srinivasan D, Varol E, Sotiras A, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Meisenzahl E, Busatto GF, Crespo-Facorro B, Pantelis C, Wood SJ, Zhuo C, Shinohara RT, Shou H, Fan Y, Koutsouleris N, Gur RE, Gur RC, Satterthwaite TD, Wolf DH, Davatzikos C. 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, DOI: https://doi.org/10.1016/j.biopsych.2021.02.931
  • Wen J, Chand GB, Dwyer DB, Erus G, Hwang G, Sotiras A, Srinivasan D, Doshi J, Pigoni A, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Meisenzahl E, Busatto GF, Crespo-Facorro B, Pantelis C, Wood SJ, Zhuo C, Shinohara RT, Shou H, Fan Y, Gur RC, Gur RE, Satterthwaite TD, Koutsouleris N, Wolf DH, Davatzikos C. Patterns of Structural Covariance Abnormalities and Clinical Correlations in Schizophrenia, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 89(9): S371-S372, DOI: https://doi.org/10.1016/j.biopsych.2021.02.924
  • Jiao Z, Li H, Xiao Y, Galperin-Aizenberg M, Pryma D, Simone C II, Feigenberg S, Kao G, Fan Y. 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
  • Jiao Z, Li H, Xiao Y, Feigenberg S, Kao G, Fan Y. 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
  • Lee SH, Geng H, Zhong H, Fan Y, Rosen M, Xiao Y. 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
  • Lee SH, Kao G, Feigenberg S, Dorsey J, Frick M, Jean-Baptiste S, Uche C, Fan Y, Xiao Y. 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
  • Lee SH, Geng H, Zhong H, Fan Y, Rosen M, Xiao Y. 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
  • Lee SH, Kao G, Feigenberg S, Dorsey J, Frick M, Jean-Baptiste S, Uche C, Fan Y, Xiao Y. 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 https://doi.org/10.1016/j.ijrobp.2021.07.544
  • Kaczkurkin A, Sotiras A, Baller E, Barzilay R, Calkins ME, Chand GB, Cui Z, Erus G, Fan Y, Gur RE, Gur RC, Moore TM, Roalf D, Rosen AFG, Ruparel K, Shinohara RT, Varol E, Wolf DH, Davatzikos C, Satterthwaite TD. Neurostructural Heterogeneity in Youth With Internalizing Symptoms, Annual Meeting of American Psychiatric Association, Biological Psychiatry, 87(9): S28, May 01, 2020. DOI: https://doi.org/10.1016/j.biopsych.2020.02.096
  • Wolf DH, Chand GB, Dwyer DB, Erus G, Sotiras A, Varol E, Srinivasan D, Doshi J, Pomponio R, Pigoni A, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Meisenzahl E, Busatto GF, Crespo-Facorro B, Pantelis C, Wood SJ, Zhuo C, Shinohara RT, Shou H, Fan Y, Gur RC, Gur RE, Satterthwaite TD, Koutsouleris N, Davatzikos C. 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. DOI: https://doi.org/10.1016/j.biopsych.2020.02.097
  • Chand GB, Wolf DH, Erus G, Srinivasan D, Dwyer DB, Pomponio R, Sotiras A, Varol E, Doshi J, Pigoni A, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Meisenzahl E, Busatto GF, Crespo-Facorro B, Pantelis C, Wood SJ, Zhuo C, Shinohara RT, Shou H, Fan Y, Koutsouleris N, Moore TM, Gur RE, Gur RC, Satterthwaite TD, Davatzikos C. 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. DOI: https://doi.org/10.1016/j.biopsych.2020.02.324
  • Sasankan N, Geng H, Zhong H, Fan Y, Rosen M, Bradley JD, Cao J, Garces Y, Iyengar P, Kavadi VS, Robinson CG, Welsh JW, Narayan S, MacRae RM, Gaur R, Curran WJ, Videtic GM, Pu VA, Koprowski CD, Xiao Y. Radiomic Biomarkers Evaluation of the High Dose Arm of RTOG 0617. International Journal of Radiation Oncology*Biology*Physics, 105(1): S119-S120, Sep 2019 Notes: https://doi.org/10.1016/j.ijrobp.2019.06.088.
  • Zhong H, Athamnah M, Huang M, Geng H, Cheng C, Men K, Rosen M, Rosenthal DI, Thorstad WL, Bar AV, Trotti A, Roach M III, Gore EM, Birrer M, Raben D, Shenouda G, Foote RL, Fan Y, Xiao Y. 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.
  • Li H, Fan Y. Accurate hippocampus segmentation using fully convolutional networks with residual connections and fused deep supervision. Alzheimer's Association International Conference (AAIC), Jul 2019.
  • Li H, Wolk DA, Fan Y. 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, Fan Y, M Rosen, Xiao Y. 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, Fan Y, A Lin, Xiao Y. A Deep Learning Method for Xerostomia Prediction in Head-And-Neck Radiotherapy. Medical Physics 46(6): E293-E294, Jun 2019.
  • Fan Y, Li H, Boimel PJ, Xiao Y, Ben-Josef E, Galperin-Aizenberg M, Pryma D, Rosen M, O’Dwyer P, Zhou R. Machine/Deep Learning for Cancer Imaging Studies. Co-Clinical Imaging Research Resources Program (CIRP), 2019 Meeting May 2019.
  • Chand GB, Dwyer DB, Erus G, Sotiras A, Varol E, Srinivasan D, Gur RC, Gur RE, Dazzan P, Kahn RS, Schnack HG, Zanetti MV, Busatto GF, Facorro BC, Pantelis C, Zhuo C, Fan Y, Satterthwaite TD, Wolf DH, Koutsouleris N, Davatzikos C. 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.
  • Sotiras A, Erus G, Truelove-Hill M, Kaczkurkin A, Chand GB, Sako C, Dwyer DB, Gur RC, Gur RE, Fan Y, Satterthwaite TD, Koutsouleris N, Wolf DH, Davatzikos C. Multivariate Pattern Analysis Reveals Structural Brain Network Abnormalities in Schizophrenia. Biological Psychiatry. 85(10): S117-S118, May 2019 Notes: Oral.
  • Li H, Egbodza E, Bai HX, Mahesh D, Bikmal A, Tan X, Shen Q, Zhou H, Chang K, Huang RY, Zhang PJ, Fan Y, Yang L, Pukenas BA, Hu Z, Woo JH, Xiao B. 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. https://doi.org/10.1002/ana.25331
  • Habes M, Erus G, Sotiras A, Doshi J, Fan Y, Nasrallah I, Wolk DA, Davatzikos C. 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.
  • Huang M, Zhong Z, Boimel P, Janopaul-Naylor J, Men K, Geng G, Cheng C, Gabriel P, Fan Y, Ungar L, Rosen M, Ben-Josef E, Xiao Y. 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.
  • Men K, Boimel P, Janopaul-Naylor J, Zhong H, Huang M, Geng H, Cheng C, Fan Y, Plastaras J, Ben-Josef E, Xiao Y. 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.
  • Li J, Mao C, Bo Hou, Feng F, Fan Y, Liu C, Dong L, Huang X, Lei D, Gao J. A Dynamic MRI Observation of Patients with AD and FTLD. The Alzheimer's Association International Conference (AAIC 2018), Jul 2018.
  • Li H, Martin-Carreras T, Cooper K, Sebro R, Fan Y. Distinguishing Myxomas From Myxofibrosarcomas Using Radiomic Features Extracted From T1 MRI. Annual meeting of American Association of Physics in Medicine, Jul 2018
  • Li H, Habes M, Fan Y. A deep learning prognostic model for early prediction of Alzheimer's disease based on hippocampal MRI data, Alzheimer's Association International Conference (AAIC) 2018. Jul 2018 Notes: Oral presentation.
  • Li H, Yang J, Xiao Y, Fan Y. 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.
  • Li H, Fan Y. Early prediction of Alzheimer's disease based on 1-year follow-up cognitive measures using deep recurrent neural networks. Alzheimer's Association International Conference (AAIC) 2018, Jul 2018 Notes: Poster presentation.
  • Peng Q, Ouyang M, Wang J, Yu Q, Zhao C, Slinger M, Li H, Fan Y, Hong B, Huang H. Regularized-Ncut: Robust functional parcellation of brain networks. ISMRM 2018 Annual Meeting, Jun 2018.
  • Peng Q, Ouyang M, Wang J, Yu Q, Zhao C, Slinger M, Li H, Fan Y, Hong B, Huang H. Neonate Functional Brain Networks and Distinctive Intra-Network Connectivity, ISMRM 2018 Annual Meeting, Jun 2018.
  • Regier P, Wang J, Rao H, Fan Y, Childress AR. 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, Montreal Jun 2018 Notes: Oral Presentation.
  • Zhu X , Li H, Fan Y. Sex-specific pattern classification models better distinguish schizophrenia patients from healthy controls based on resting state fMRI Data. 2018 OHBM Annual Meeting, Jun 2018.
  • Li H, Fan Y. Identify functional state transitions using recurrent neural networks from functional MRI. 2018 OHBM Annual Meeting, Jun 2018.
  • Shah C, Hsieh MK, Fan Y, Erus G, Haley W, Davatzikos C, Bryan R, Nasrallah I. Functional consequences of hypertension on the brain: White matter lesion burden and connectivity. OHBM 2018 Annual Meeting, Jun 2018.
  • Tasian GE, Zheng Q, Furth S, Fan Y. 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.
  • Cheng H, Zheng Q, Zhu X , Smith AM, Qian Y, O'Quinn R, Silvestry F, Han Y, Scherrer-Crosbie M, Ferrari V, Duffy K, Jagasia D, Davatzikos C, Fan Y, Ky B. 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.
  • Li H, Galperin-Aizenberg M, Pryma D, Simone C II, Fan Y. 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
  • Li H, Zhong H, Boimel PJ, Ben-Josef E, Xiao Y, Fan Y. 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
  • Zhong H, Boimel PJ, Fan Y, Wang J, Geng H, Huang M, Cheng C, Rosen M, Ben-Josef E, Xiao Y. 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.
  • Boimel PJ, Zhong H, Janopaul-Naylor J, Fan Y, Rosen M, Lukens JN, Xiao Y, Ben-Josef E. 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.
  • Wang R, Jing R, Zhuo C, Fan Y. Aberrant functional modes and abnormal connectivity patterns are coupled in schizophrenia patients. the 2017 OHBM Annual Meeting, Jun 2017.
  • Jing R, Li P, Lu L, Fan Y. Altered large scale functional networks in unaffected family members of schizophrenia patients. the 2017 OHBM Annual Meeting, Jun 2017.
  • Wetherill RR, Rao H, Franklin TR, Fan Y. Pattern classification identified large scale functional networks altered by nicotine use. the 2017 OHBM Annual Meeting, Jun 2017.
  • Zhang X, Cheng H, Zuo Z, Zhou K, Wang B, An J, Chen L, Fan Y, Xue R. 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.
  • Li H, Galperin-Aizenberg M, Pryma D, Simone CB II, Fan Y. 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.
  • Jing R, Li P, Zhao R, Shi L, Sun H, Lu L, Fan Y. Effects of modified electroconvulsive therapy on the brain functional connectivity in schizophrenia. 2016 OHBM Annual Meeting, Jun 2016.
  • Li J, Zhang X, Zuo Z, Lu J, Guan Y, Zhang W, Fan Y. Changes of Brain Motor Functional Connectivity of Ischemic Stroke Patients in the Resting State after rTMS Treatments. RSNA 2015, Dec 2015.
  • Liu L, Wang DJ, Fan Y. Dynamic changes of hippocampal subregional functional connectivity patterns in the developing brain. OHBM Annual Meeting, Jun 2015.
  • Li H, Fan Y. Identification of functional brain networks with multi-view non-negative matrix factorization. OHBM Annual Meeting, Jun 2015.
  • Cheng H, Wei Q, Tian Y, Wang K, Fan Y. Altered amygdala subregional functional connectivity due to depression recovered after ECT treatment. OHBM Annual Meeting, Jun 2015 Notes: poster session.
  • Zhu H, Qi S, Fan Y. Optimal label fusion for multiatlas image segmentation by local similarity metric learning. OHBM Annual Meeting, Jun 2015.
  • Liu L, Wang DJ, Fan Y. Morphological and functional changes in the developing brain during childhood and adolescence. OHBM Annual Meeting, Jun 2014 Notes: Student travel award.
  • Liu L, Sun Y, Wang G, Zhao L, Feng J, Lu L, Fan Y, Shi J. Genetic susceptibility affects brain structure in heroin addiction patients. OHBM Annual Meeting, Jun 2014 Notes: Poster Presentation.
  • Cheng H, Han Y, Wang K, Fan Y. Abnormal resting-state brain connectivity in patients with Wilson's disease. OHBM Annual Meeting, Jun 2014 Notes: Poster Presentation.
  • Tang Z, Jiang D, Fan Y. Group-wise Image Registration based on Dynamic Directed Graph Models. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
  • Tang Z, Jiang D, Fan Y. Spatial Registration of fMRI Data via Graph Matching of Functional Connectivity Patterns. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
  • Liu L, Lv Y, Guo Q, Fan Y. Gray matter atrophy patterns shared by mild general paresis of the insane, MCI and AD. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
  • Cheng H, Feng J, Lu L, Shi J, Zhao L, Fan Y. Resting-state brain connectivity alteration caused by Internet addiction. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
  • Zhang D, Fan Y. Simultaneous Learning for natural image identification from fMRI signals of human brain activity. OHBM Annual Meeting, Jun 2013 Notes: Poster Presentation.
  • Fu L, Liu L, Fan Y, Tian J. Dual-biomarker of 11C-PIB for Alzheimer's disease diagnosis. J NUCL MED Meeting, 54(2), May 2013.
  • Yan L, Fan Y, Wang DJ. Reliable Detection of Default Mode Network in Resting-state Perfusion fMRI using pCASL 3D GRASE with Background Suppression. ISMRM,2012.
  • Du Y, Yan L, Wang DJ, Fan Y. Resting-state brain networks in BOLD fMRI and perfusion fMRI. OHBM Annual Meeting, Jun 2012.
  • Zhang X, Wang P, Liu Y, Zhang X, Jiang T, Fan Y. The analysis of the conflict resolution in Alzheimer's disease and mild cognitive impairment. OHBM Annual Meeting, Jun 2012.
  • Liu L, Fan Y. Morphological and functional brain alterations associated with Alzheimer's disease. OHBM Annual Meeting, Jun 2012.
  • Zhang H, Liu L, Wu H, Fan Y. Feature selection and SVM classification of multiple modality images for predicting MCI. OHBM Annual Meeting, Jun 2012.
  • Cheng H, Wang R, Xue R, Wang DJ, Fan Y. Automated multiple vascular territories mapping from VEPCASL MRI using spatial consistent k-means. OHBM Annual Meeting, Jun 2012.
  • Cheng H, Fan Y. Intrinsic functional connectivity based brain parcellation using regularized weighted kernel k-means. OHBM Annual Meeting, Jun 2012.
  • Song D, Cheng H, Fan Y. Prior information guided brain parcellation based on resting state fMRI data. OHBM Annual Meeting, Jun 2012
  • Du Y, Fan Y. Group information guided ICA for analysis of multi-subject fMRI data. OHBM Annual Meeting, Jun 2011m Notes: Travel Award, Interactive-Poster Presentation.
  • Yap PT, Fan Y, Chen Y, Gilmore JH, Lin W, Shen D. 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.
  • Shi F, Fan Y, Yap PT, Lin W, Gilmore JH, Shen D. 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.
  • Fan Y, Browndyke JN. MCI diagnosis via manifold based classification of functional brain networks. Alzheimer's & dementia: the journal of the Alzheimer's Association, 6(4): S16, Jul 2010, http://dx.doi.org/10.1016/j.jalz.2010.05.044.
  • Fan Y, Liu Y, Hao Y, Liu H, Liu Z, Jiang T. Identification of Aberrant Functional connectivity Patterns for Schizophrenia Diagnosis. OHBM Annual Meeting, Jun 2010.
  • Fan Y, Shi F, Gilmore JH, Lin W, Shen D. Increased Modularity of the Early Developing Human Brain Anatomical Networks, 95th RSNA Scientific Assembly and Annual Meeting 2009, Notes: Oral Presentation.
  • Fan Y, Shi F, Gilmore JH, Lin W, Shen D. 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.
  • Tang S, Fan Y, Zhu H, Gao W, Lin W, Shen D. DTI Smoothing by Hierarchical, Adaptive and Robust Strategy. Annual Meeting of The International Society for Magnetic Resonance in Medicine, 2009.
  • M. Kim, Fan Y, Tang S, Shen D. High Speed Brain Image Registration. 95th RSNA Scientific Assembly and Annual Meeting, 2009.
  • Shi F, Fan Y, Tang S, Cleary K, Styner M, Gilmore JH, Lin W, Shen D. Automatic Segmentation of Brain Tissues for Newborn MRI in Longitudinal Study. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009.
  • Shi F, Fan Y, Tang S, Gilmore JH, Lin W, Shen D. Measurement of Brain Development in the First Two Years of Life. Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2009.
  • Shi F, Fan Y, Cheng JZ, Wald LL, Gerig G, Lin W, Shen D. 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.
  • Shi F, Yap PT, Fan Y, Gilmore JH, Lin W, Shen D. Construction of Probabilistic Atlases for Neonates and One-year-olds. 95th RSNA Scientific Assembly and Annual Meeting, 2009.
  • Fan Y, Kaufer D, Shen D. Estimating clinical variables from brain images using Bayesian regression. Alzheimer's & dementia: the journal of the Alzheimer's Association, 5(4): P372, 2009, http://dx.doi.org/10.1016/j.jalz.2009.04.1173.
  • Ou Y, Shen D, Fan Y, Zeng J, Sun L, Davatzikos C. Optimized Biopsy Procedures for Estimating Gleason Score and Prostate Cancer Volume. MICCAI Prostate Image Workshop, Sep 2008.
  • Davatzikos C, Fan Y, Clark C. 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 (AAIC), Jul 2008, Notes: Oral Presentation.
  • Fan Y, Resnick SM, Shen D, Kraut MA, Davatzikos C. 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.
  • Davatzikos C, Fan Y, Wu X, Shen D, Resnick SM. 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.
  • Fan Y, Jiang T, Evans DJ. A parallel algorithm for deformable model based volumetric segmentation. 8th International Conference on Functional Mapping of the Human Brain, Sendai, Japan, Jun 2002.
  • Fan Y, Jiang T, Li X. 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, 12th International Conference on Biomagnetism.
  • Fan Y, Jiang T, Evans DJ. Parallel algorithm for BEM based EEG/MEG forward problem. Neuroimage, 13(6): S1301, Jun 2001.
  • Jiang T, Lu Q, Fan Y, Kruggel F. 3D segmentation of white matter lesions by combining pixons-based techniques with Polya Urn models. Neuroimage 11(5): S616, May 2000.