Neuroradiology

Richly annotated training data vastly improves deep learning algorithm's accuracy. 

Even as Rahul Desikan, MD, PhD battles amyotrophic lateral sclerosis (ALS) himself, he continues the rigorous lines of questioning that led him to become a leading investigator focused on neurogenerative diseases. 

Rahul Desikan, MD, PhD, and Leo Sugrue, MD, PhD recently discussed polygenic scores and why they are important in Scientific American.

Hyperpolarized (HP) carbon 13 (¹³C) MRI is an emerging molecular imaging technique that is actively undergoing clinical translation at multiple institutions. At UCSF Radiology, we are engaged in work to develop this new technology.

With complimentary backgrounds in basic and clinical neuroscience and a shared desire to ask (and answer) big questions, when Drs. Desikan and Sugrue met in the Neuroradiology fellowship training program at UCSF they quickly became both friends and research partners. Today as junior faculty in the Department of Radiology and Biomedical Imaging they jointly run the Laboratory for Precision Neuroimaging at UCSF.

Rahul Desikan, MD, PhD is now battling amyotrophic lateral sclerosis (ALS), one of the diseases that he studies. He and his wife shared their emotional story on Good Morning America.

Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer's disease, according to a study from UCSF Radiology researchers published in the journal Radiology.

Dr. Rahul Desikan's study of genetics and ALS research is groundbreaking. He is seeking funding for his research project that will help improve understanding of ALS, identify new therapeutic targets and find out ways to prevent this neurodegenerative disease.

Peder Larson, PhD and his research group had their paper chosen as an August 2018 Editor's Pick in Magnetic Resonance in Medicine.

Neuroradiology research leaders and scientists from the UC San Francisco Department of Radiology and Biomedical Imaging had a strong presence at the 2018 ASNR Annual Meeting.