Stanford University
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Tony Chen, MD
Clinical Assistant Professor, Urology
BioDr. Chen is a fellowship-trained urologist who specializes in male reproductive medicine. He is a clinical assistant professor in the Department of Urology at Stanford University School of Medicine.
Dr. Chen diagnoses and treats male infertility, erectile dysfunction, Peyronie’s Disease, Benign Prostatic Hyperplasia (BPH), hypogonadism, orchalgia, and other disorders of the male genitourinary tract. He emphasizes getting to know the whole patient and utilizing a stepwise approach to treatment when appropriate. When surgery is required, he excels at scrotal surgery, minimally invasive prostate de-obstruction, penile implant placement, microsurgical vasectomy reversal, varicocele treatment, and surgical sperm retrieval.
For every patient, Dr. Chen develops a personalized care plan emphasizing innovation, safety, and compassion.
Dr. Chen has published his research findings in journals including Urology Practice, the Journal of Sexual Medicine, Endocrine, the Journal of Pediatric Urology, Journal of Endourology, and elsewhere. Topics have included the association between mortality and male infertility, the association of the COVID-19 pandemic on male sexual function, national trends in vasectomy, and more. He co-wrote the chapter “Simulation and Ureteroscopy” for the textbook Ureteroscopy.
Dr. Chen is also an innovator with an interest in bringing novel technologies to the field of benign Urology. He has a background in the use of simulation science in medical teaching as well as in prototype design. He has received grant funding to prepare robotic surgeons for acute operating room scenarios and holds a provisional patent on a system for automated urine assessment and monitoring in the hospital.
He has made presentations on male infertility and surgical simulation at meetings of the American Urological Association, American College of Surgeons, and Sexual Medicine Society.
Dr. Chen has won recognition for his research and clinical achievements. He has received awards from the Western Section of the American Urological Association, American College of Surgeons, Society of Urologic Prosthetic Surgeons, and Sexual Medicine Society of North America.
He is a member of the American Urological Association, American College of Surgeons, International Society for Sexual Medicine, American Society for Reproductive Medicine, and Western Section of the American Urological Society. -
Wenting Chen
Postdoctoral Scholar, Radiation Physics
BioI am currently a Postdoc Fellow in the Department of Radiation Oncology of Stanford University, advised by Prof. Lei Xing. Before joining Stanford, I obtained my Ph.D degree in the Department of Electrical Engineering, City University of Hong Kong, supervised by Prof. Yixuan YUAN, Prof. W.S Tommy Chow, and Prof. L.H. Leanne Chan. I visited Massachusetts General Hospital and Harvard Medical School, supervised by Prof. Xiang Li and Prof. Quanzheng Li. Before that, I received the B. Eng and M. Eng degree from College of Computer Science and Software Engineering in Shenzhen University of China in 2017 and 2020, supervised by Prof. Linlin Shen. From Dec. 2019 to Nov. 2020, I had interned in Tencent Jarvis Lab, supervised by Dr. Shuang Yu and Prof. Yefeng Zheng.
My research interests lie in vision-language model, multi-modal large language model, generative AI, computer vision and their applications on medical AI, with a focus on report generation, medical image synthesis, endoscopy super-resolution, retinal image segmentation, multi-modality diagnosis, etc. -
Xiaoke Chen
Associate Professor of Biology
Current Research and Scholarly InterestsOur goal is to understand how brain circuits mediate motivated behaviors and how maladaptive changes in these circuits cause mood disorders. To achieve this goal, we focus on studying the neural circuits for pain and addiction, as both trigger highly motivated behaviors, whereas, transitioning from acute to chronic pain or from recreational to compulsive drug use involves maladaptive changes of the underlying neuronal circuitry.
