PIMA-CT: Physical Model-Aware Cyclic Simulation and Denoising for Ultra-Low-Dose CT Restoration by Peng Liu, Linsong Xu, Garrett Fullerton, Yao Xiao, Yao Xiao, James-Bond Nguyen, Zhongyu Li, Izabella Barreto, Catherine Olguin, Ruogu Fang, Ruogu Fang, Ruogu Fang

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Editorial: Frontiers of women in brain imaging and brain stimulation by Ruogu Fang, Lijun Bai, Wen Li

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66361 TL1 Team Approach to Predicting Response to Spinal Cord Stimulation for Chronic Low Back Pain by Kyle See, Rachel Ho, Stephen Coombes, Ruogu Fang

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Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects. by Peng Liu, Ke Bo, Mingzhou Ding, Ruogu Fang

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4085 TL1 Team Approach to Predicting Short-term and Long-term Effects of Spinal Cord Stimulation by Kyle See, Rachel Louise Mahealani Judy, Stephen Coombes, Ruogu Fang

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Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images by Nooshin Yousefzadeh, Charlie Tran, Adolfo Ramirez-Zamora, Jinghua Chen, Ruogu Fang, My T. Thai

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Unraveling somatotopic organization in the human brain using machine learning and adaptive supervoxel-based parcellations by Kyle B. See, David J. Arpin, David E. Vaillancourt, Ruogu Fang, Stephen A. Coombes

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Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods by Zehao Yu, Xi Yang, Gianna L. Sweeting, Yinghan Ma, Skylar E. Stolte, Ruogu Fang, Yonghui Wu

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Modular machine learning for Alzheimer's disease classification from retinal vasculature by Jianqiao Tian, Glenn Smith, Han Guo, Boya Liu, Zehua Pan, Zijie Wang, Shuangyu Xiong, Ruogu Fang

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Machine-learning defined precision tDCS for improving cognitive function by Alejandro Albizu, Aprinda Indahlastari, Ziqian Huang, Jori Waner, Skylar E. Stolte, Ruogu Fang, Adam J. Woods

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Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging by Charlie Tran, Kai Shen, Kang Liu, Akshay Ashok, Adolfo Ramirez-Zamora, Jinghua Chen, Yulin Li, Ruogu Fang

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STIR-Net: Deep Spatial-Temporal Image Restoration Net for Radiation Reduction in CT Perfusion by Yao Xiao, Peng Liu, Yun Liang, Skylar Stolte, Pina Sanelli, Pina Sanelli, Pina Sanelli, Pina Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang

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Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning by Cameron Celeste, Dion Ming, Justin Broce, Diandra P. Ojo, Emma Drobina, Adetola F. Louis-Jacques, Juan E. Gilbert, Ruogu Fang, Ivana K. Parker

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Machine learning and individual variability in electric field characteristics predict tDCS treatment response by Alejandro Albizu, Ruogu Fang, Aprinda Indahlastari, Andrew O’Shea, Skylar E. Stolte, Kyle B. See, Emanuel M. Boutzoukas, Jessica N. Kraft, Nicole R. Nissim, Adam J. Woods

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Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study by Derek B Archer, PhD, Justin T Bricker, MS, Winston T Chu, BS, Roxana G Burciu, PhD, Johanna L McCracken, BS, Song Lai, ProfPhD, Stephen A Coombes, PhD, Ruogu Fang, PhD, Angelos Barmpoutis, PhD, Daniel M Corcos, PhD, Ajay S Kurani, PhD, Trina Mitchell, MS, Mieniecia L Black, MPH, Ellen Herschel, BS, Tanya Simuni, ProfMD, Todd B Parrish, ProfPhD, Cynthia Comella, ProfMD, Tao Xie, MD, Klaus Seppi, ProfMD, Nicolaas I Bohnen, ProfMD, Martijn LTM Müller, PhD, Roger L Albin, ProfMD, Florian Krismer, MD, Guangwei Du, MD, Mechelle M Lewis, PhD, Xuemei Huang, ProfMD, Hong Li, PhD, Ofer Pasternak, PhD, Nikolaus R McFarland, MD, Michael S Okun, ProfMD, David E Vaillancourt, ProfPhD

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