Radiology


Showing 11-20 of 21 Results

  • Ryan T. Ash MD, PhD

    Ryan T. Ash MD, PhD

    Affiliate, Rad/Radiological Sciences Laboratory

    BioMy lab is interested in developing novel neuromodulation technologies to augment neuroplasticity and enhance the "unlearning" of maladaptive habitual ways of relating to the to the world. I have a K08 Career Development Award to measure how attention modulates neuroplasticity induced by repetitive transcranial magnetic stimulation, using EEG steady-state visual evoked potentials and visual attention psychophysics. I have a Brain Behavior Research Foundation Young Investigator Award to develop in-human applications of transcranial ultrasound stimulation in the subcortical visual system and fear regulation circuit. I have a Simons Foundation Bridge to independence Award to develop closed-loop ultrasound neuromodulation technologies to enhance behavioral flexibility in autism spectrum disorders. I work closely with mentors Anthony Norcia, Kim Butts Pauly, and Nolan Williams on these projects. I am interested in the neural basis of mindfulness, concentration, and compassion practices from Buddhist meditation, and I have more than a year of silent retreat experience in the Theravada Buddhist meditation tradition. I see patients in the Stanford Neuropsychiatry clinic with a specialization in Functional Neurological disorders and related psychosomatic and dissociative conditions. My therapeutic orientations include integrated psychodynamic- and mindfulness-based approaches and neuromodulation-assisted psychotherapy.

  • Arman Avesta

    Arman Avesta

    Assistant Professor of Radiology (Pediatric Radiology)

    BioI'm a neuroradiologist and data scientist developing AI tools for fetal and pediatric neuroimaging. I'm an Assistant Professor of Radiology at Stanford University and a neuroradiologist at Stanford Children's Hospital.

    My research aims to make fetal and pediatric brain MRI faster, sharper, and more reliable. I'm building a real-time system that tracks the moving fetal head mid-scan and steers the scanner to re-acquire motion-degraded slices on the fly — extending my doctoral work on deep-learning segmentation of brain structures and tumors.

    Training:

    * Harvard Medical School - Boston Children's Hospital: Fellowship - Pediatric Neuroradiology
    * Harvard Medical School - Massachusetts General Hospital: Fellowship - Neuroradiology
    * Yale University: PhD - Data Science & AI
    * Yale School of Medicine - Yale New Haven Hospital: Residency - Diagnostic Radiology
    * Harvard Medical School - Massachusetts General Hospital: Postdoc - Neuroscience
    * Tehran University Medical School: MD

    Outside the hospital, I'm a ballroom dancer and also enjoy calisthenics, hiking, and tennis.

  • Ugur Aygun

    Ugur Aygun

    Postdoctoral Scholar, Radiology

    BioUgur Aygun is a Marie Skłodowska-Curie Global Fellow working as a postdoctoral researcher at Canary Center for Early Cancer Detection, Stanford University. He received his PhD in electrical engineering, specializing in optical biosensors, optical microscopy, computational imaging, and spectroscopy. His research focusing on the development of novel optical imaging techniques for biomedical applications.