Li, Y., Zhao, L., Amindarolzarbi, A., Mena, E., Leal, J., Chen, J., …, Bai, H.SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. in Electrical Engineering, Summa Cum Laude, North Carolina State University (Raleigh, NC) (2017) MEMBERSHIPS Society of Nuclear Medicine and Molecular Imaging (SNMMI), Scientist-in-Training Member Institute of Electrical and Electronics Engineers (IEEE), Student Member The International Society for Optics and Photonics (SPIE), Student Member Association for Computing Machinery (ACM), Student Member The Medical Image Computing and Computer Assisted Intervention Society (MICCAI), Student Member PUBLICATIONS in Computer Engineering, Summa Cum Laude, North Carolina State University (Raleigh, NC) (2017) B.Sc. in Electrical & Computer Engineering, Johns Hopkins University (Baltimore, MD) (2019) B.Sc. in Electrical & Computer Engineering, Johns Hopkins University (Baltimore, MD) (2022) M.S.E. RESEARCH INTERESTS Nuclear Medicine Imaging (SPECT, PET) Medical Image Analysis (Segmentation, Registration, Desnoising) Deep Learning & Machine Learning Digital Phantoms EDUCATION Ph.D. I passed GBO exam! I’m now officially a Ph.D. I was featured in the MICCAI daily 2021! I won 2022 SNMMI Student Research Grant award! One paper was accepted to WBIR 2022 as long oral! Successfully defended my dissertation. I joined JHMI as a research faculty member! One journal paper was accepted by Medical Image Analysis for publication! My papers as the first author were among the most downloaded publications in Medical Image Analysis and Medical Physics. I’ve won the 2023 JHU Discovery Award in collaboration with Yong Du, PhD, Steven Rowe, MD PhD, and Aaron Carass, DEng. I received the 2023 IEEE NSS MIC RTSD Trainee Grant. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks NEWS TransMorph: Transformer for unsupervised medical image registration degrees in Electrical & Computer Engineering from Johns Hopkins University in 20, respectively. degrees with Summa Cum Laude honors in Computer Engineering and Electrical Engineering from North Carolina State University in 2017, my M.S.E. (full-time in May-August 2020, part-time in September 2020 - October 2021), as a PET Image Reconstruction and Quality Scientist Intern, supervised by Dr. I worked at Canon Medical Research USA, Inc. Muyinatu Bell, Vishal Patel, Yong Du, and Eric Frey. My sincere appreciation to my committee members, Profs. I successfully defended my dissertation on Oct. I was a graduate student at Johns Hopkins University from 2017 to 2022, advised by Dr. Morgan Department of Radiology and Radiological Science. Zhong’s research at the Vollum Institute.I am a faculty research associate at Johns Hopkins Medical Institutes, working in the Radiological Physics Division of the Russell H. Because novel technology enables us to ask long standing questions in new ways, we also actively adapt and develop the relevant technologies, such as endogenous protein labeling, biosensors for subcellular signaling pathways and microscopy. We harness the advantages of both in vitro and in vivo experiments depending on the specific question using a variety of approaches, including advanced microscopy, electrophysiology, optogenetics, mouse genetics, CRISPR-based gene editing, and computation. Our focus is on two types of regulations - neuromodulation and experience-dependent plasticity - using rodents as the experimental model. We study how the brain is regulated and changed to allow the animal to adapt to and excel in the ever-changing world. In 2010, he was appointed as an assistant scientist at the Vollum Institute and was promoted to scientist in 2015. Zhong did postdoctoral training at the Cold Spring Harbor Laboratory and then at the Janelia Farm Research Campus of the Howard Hughes Medical Institute. in Neuroscience from the Johns Hopkins University School of Medicine in 2002. in Electronics and Computer Science from Tsinghua University in Beijing, China in 1996. in Biological Science and Biotechnology and B.Eng.
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