Come work with us. We are looking for postdoctoral fellows with an #AI in #MedicalImaging interest applied to #prostatecancer research. We foster a diverse research team, consider applying especially if you are URM. linkedin.com/jobs/view/1890… Stanford Radiology Geoffrey A. Sonn, MD

Our team with and without immigrants. Indeed, without immigrants, our research team wouldn't be here doing impactful clinical research focused on early cancer detection, e.g. in #prostatecancer. Indrani Bhattacharya Wei Shao Mirabela Rusu Rewa Sood Stefania Moroianu

Sam Gambhir once said to view our trainees as candles, and to light them so they could spread the work of improving the health of our fellow humans. Sam has lit many many candles; we will miss him, but the candles he lit will continue his work well on into the future.

Sam would speak of life as a train journey. We are all honored to have shared some of the journey with him. While Sam has left the train, his legacy continues. We will all miss him so much. MIPS Stanford Radiology Canary Center at Stanford Stanford PHIND Stanford Medicine

Super excited to co-host Mirabela Rusu from Stanford Radiology presenting at the next Case Comp Cancer Ctr Machine Learning Working Group on #AI approaches to combine #radiology and #pathology for learning imaging signatures for #prostatecancer. Join us Jul 31, 2 pm ET! Pallavi Tiwari

Look forward to Mirabela Rusu's talk at our next AI working group meeting. @CCIPD_Case @pimed_lab.

We are hiring 2 postdocs focused on AI for medical applications. Join our team

Congratulations to Indrani Bhattacharya for receiving the MICCAI 2020 - NIH Award for her paper "CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis" arxiv.org/abs/2008.00119 Integrative Biomedical Imaging Informatics (IBIIS) Geoffrey A. Sonn, MD

We are excited to see Indrani be recognized and selected for this workshop. Congratulations, Indrani!

Delighted to announce that our deep-learning base registration of MRI and histopathology images of the prostate has just been accepted for publication in "Medical Imaging Analysis". Congrats to the team Wei Shao , Linda, Geoffrey A. Sonn, MD, @DrMirabelaRusu, and Stanford Radiology

Join our team Stanford Radiology Stanford Urology

Great way to start 2021: with a paper accepted in "Medical Image Analysis". Congrats to Rewa Sood Wei Shao for leading this work, collaborator Geoffrey A. Sonn, MD, and the rest of the team Stanford Radiology Stanford Urology Stanford Pathology @DrMirabelaRusu Stanford AIMI

.@DrMirabelaRusu will present our work on prostate MRI interpretation using deep learning methods.

Our latest work focuses on localizing aggressive and indolent prostate cancer on MRI using digital pathology and registration of histopathology and MRI, and deep learning: aapm.onlinelibrary.wiley.com/doi/10.1002/mp…. Study by Arun Seetharaman and Dr. Indrani Bhattacharya Indrani Bhattacharya

Runner-up Award for the Learn2Reg Challenge #miccai2021. Congrats to the team!

PIMed is excited to welcome Dr. Golnaz Moallem, PhD, Postdoctoral scholar (Golnaz Moallem) and Karin Stacke, a Visiting PhD Researcher. We are excited to have you both join our team. Welcome!