Calendar

Jan
15
Wed
2020
AIMI & IBIIS Seminar – Wei Shao, PhD & Saeed Seyyedi, PhD @ Clark Center - S360
Jan 15 @ 12:00 pm – 1:00 pm
AIMI & IBIIS Seminar - Wei Shao, PhD & Saeed Seyyedi, PhD @ Clark Center - S360

“A Deep Learning Framework for Efficient Registration of MRI and Histopathology Images of the Prostate”

Wei Shao, PhD
Postdoctoral Research Fellow
Department of Radiology
Stanford University

“Applications of Generative Adversarial Networks (GANs) in Medical Imaging”

Saeed Seyyedi, PhD
Paustenbach Research Fellow
Department of Radiology
Stanford University

Join via Zoom: https://stanford.zoom.us/j/593016899

Refreshments will be provided

ABSTRACT (Shao)
Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and treatment of prostate cancer. However, MRI interpretation suffers from high interobserver variability and often misses clinically significant cancers. Registration of histopathology images from patients who have undergone surgical resection of the prostate onto pre-operative MRI images allows direct mapping of cancer location onto MR images. This is essential for the discovery and validation of novel prostate cancer signatures on MRI. Traditional registration approaches can be computationally expensive and require a careful choice of registration hyperparameters. We present a deep learning-based pipeline to accelerate and simplify MRI-histopathology image registration in prostate cancer. Our pipeline consists of preprocessing, transform estimation by deep neural networks, and postprocessing. We refined the registration neural networks, originally trained with 19,642 natural images, by adding 17,821 medical images of the prostate to the training set. The pipeline was evaluated using 99 prostate cancer patients. The addition of the images to the training set significantly (p < 0.001) improved the Dice coefficient and reduced the Hausdorff distance. Our pipeline also achieved comparable accuracy to an existing state-of-the-art algorithm while reducing the computation time from 4.4 minutes to less than 2 seconds.

ABSTRACT (Seyyedi)
Generative adversarial networks (GANs) are advanced types of neural networks where two networks are trained simultaneously to perform two tasks of generation and discrimination. GANs have gained a lot of attention to tackle well known and challenging problems in computer vision applications including medical image analysis tasks such as medical image de-noising, detection and classification, segmentation and reconstruction.In this talk, we will introduce some of the recent advancements of GANs in medical imaging applications and will discuss the recent developments of GAN models to resolve real world imaging challenges.

Mar
27
Fri
2020
Mini-Grand Rounds – Aruna Subramanian, MD, and David Ha, PharmD @ Zoom
Mar 27 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Aruna Subramanian, MD, and David Ha, PharmD @ Zoom

Mini-Grand Rounds: Emerging treatment strategies for COVID-19

Aruna Subramanian, MD
Clinical Professor, Medicine
Stanford University

David Ha, PharmD
Infectious Disease Resident
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Mar
30
Mon
2020
Mini-Grand Rounds – Payam Massaband, MD @ Zoom
Mar 30 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Payam Massaband, MD @ Zoom

Mini-Grand Rounds: Effective faculty-trainee workflow and education during the COVID-19 pandemic

Payam Massaband, MD
Clinical Associate Professor, Radiology
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
3
Fri
2020
Mini-Grand Rounds – Michele Barry, MD, FACP @ Zoom
Apr 3 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Michele Barry, MD, FACP @ Zoom

Mini-Grand Rounds: CoVID19:  Lessons learned from the global response

Michele Barry, MD, FACP
Drs. Ben & A. Jess Shenson Professor
Senior Associate Dean, Global Health
Director, Center for Innovation in Global Health
Professor of Medicine & Senior Fellow at the Woods Institute and at the Freeman Spogli Institute

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
6
Mon
2020
Mini-Grand Rounds – Garry Gold, MD @ Zoom
Apr 6 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Garry Gold, MD @ Zoom

Mini-Grand Rounds: How to stay productive during the COVID-19 pandemic

Garry Gold, MD
Vice Chair, Research and Organization
Professor, Radiology
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
8
Wed
2020
Mini-Grand Rounds – Shanthi Kappagoda, MD, MS
Apr 8 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Shanthi Kappagoda, MD, MS

Mini-Grand Rounds: Update on COVID-19

Shanthi Kappagoda, MD, MS
Clinical Associate Professor, Medicine – Infectious Diseases
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
10
Fri
2020
Mini-Grand Rounds – Alison Kerr @ Zoom
Apr 10 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Alison Kerr @ Zoom

Mini-Grand Rounds: SHC preparedness and mitigation plans for the COVID-19 pandemic

Alison Kerr
Vice President, Neuroscience and Orthopedic Service Lines
CAO of Clinical Operations
Stanford Health Care

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
13
Mon
2020
Mini-Grand Rounds – Sam Shen, MD, PhD @ Zoom
Apr 13 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Sam Shen, MD, PhD @ Zoom

Mini-Grand Rounds: In the frontlines of the COVID-19 pandemic

Sam Shen, MD, MBA
Associate Chief Quality Officer/Patient Safety Officer, SHC
Vice Chair, Clinical Operations & Quality
Clinical Associate Professor, Emergency Medicine
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
15
Wed
2020
Mini-Grand Rounds – Terry Desser, MD @ Zoom
Apr 15 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Terry Desser, MD @ Zoom

Mini-Grand Rounds: Well-being during the COVID-19 pandemic

Terry Desser, MD
Professor, Radiology
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.

Apr
17
Fri
2020
Mini-Grand Rounds – Tina Hernandez-Boussard, MPH, PhD @ Zoom
Apr 17 @ 7:00 am – 7:30 am
Mini-Grand Rounds - Tina Hernandez-Boussard, MPH, PhD @ Zoom

Mini-Grand Rounds: COVID-19: Meeting the Challenge with Data Science

Tina Hernandez-Boussard, MPH, PhD
Professor, Radiology
Stanford University

7:00am – 7:30am, Zoom

The Stanford Radiology Mini-Grand Round live session events are by invitation only. Invites with link to Zoom video will be sent via email to Department faculty and staff only. Recordings will be made available to the public shortly after the event.