Calendar

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

Feb
13
Thu
2020
Evolving Health Care from an Artisanal Organization into an Industrial Enterprise @ Clark Center, S361
Evolving Health Care from an Artisanal Organization into an Industrial Enterprise
Feb 13 @ 12:30 pm – 1:30 pm Clark Center, S361
Evolving Health Care from an Artisanal Organization into an Industrial Enterprise @ Clark Center, S361

Ron Kikinis, MD
Director of the Surgical Planning Laboratory
Professor of Radiology
Department of Radiology
Brigham and Women’s Hospital
Harvard Medical School

Title: Evolving Health Care from an Artisanal Organization into an Industrial Enterprise

Refreshments will be provided

Join via Zoom: https://stanford.zoom.us/j/996417088

Abstract: During the last decade, results from basic research in the fields of genetics and immunology have begun to impact treatment in a variety of diseases. Checkpoint therapy, for instance has fundamentally changed the treatment and survival of some patients with melanoma. The medical workplace has transformed from an artisanal organization into an industrial enterprise environment. Workflows in the clinic are increasingly standardized. Their timing and execution are monitored through omnipresent software systems. This has resulted in an acceleration of the pace of care delivery. Imaging and image post-processing have rapidly evolved as well, enabled by ever-increasing computational power, novel sensor systems and novel mathematical approaches. Organizing the data and making it findable and accessible is an ongoing challenge and is investigated through a variety of research efforts. These topics will be reviewed and discussed during the lecture.

About:

Dr. Kikinis is the founding Director of the Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, and a Professor of Radiology at Harvard Medical School. This laboratory was founded in 1990. Before joining Brigham & Women’s Hospital in 1988, he trained as a resident in radiology at the University Hospital in Zurich, and as a researcher in computer vision at the ETH in Zurich, Switzerland. He received his M.D. degree from the University of Zurich, Switzerland, in 1982. In 2004 he was appointed Professor of Radiology at Harvard Medical School. In 2009 he was the inaugural recipient of the MICCAI Society “Enduring Impact Award”. On February 24, 2010 he was appointed the Robert Greenes Distinguished Director of Biomedical Informatics in the Department of Radiology at Brigham and Women’s Hospital. On January 1, 2014, he was appointed “Institutsleiter” of Fraunhofer MEVIS and Professor of Medical Image Computing at the University of Bremen. Since then he is commuting every two months between Bremen and Boston.

During the mid-80’s, Dr. Kikinis developed a scientific interest in image processing algorithms and their use for extracting relevant information from medical imaging data. Due to the explosive increase of both the quantity and complexity of imaging data this area of research is of ever-increasing importance. Dr. Kikinis has led and has participated in research in different areas of science. His activities include technological research (segmentation, registration, visualization, high performance computing), software system development, and biomedical research in a variety of biomedical specialties. The majority of his research is interdisciplinary in nature and is conducted by multidisciplinary teams. The results of his research have been reported in a variety of peer-reviewed journal articles. He is an author and co-author of over 350 peer-reviewed articles.

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http://ibiis.stanford.edu/events/seminars/2020seminars.html

Feb
19
Wed
2020
Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples @ Clark Center S360
Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples
Feb 19 @ 2:00 pm – 3:00 pm Clark Center S360
Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples @ Clark Center S360

Tessa Cook, MD, PhD
Assistant Professor of Radiology
Perelman School of Medicine
University of Pennsylvania

Title: Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples

Abstract: Although many radiology AI efforts are focused on pixel-based tasks, there is great potential for AI to impact radiology care delivery and workflow when applied to reports, EMR data, and workflow data. Radiology-pathology correlation, identification of follow-up recommendations, and report segmentation can be used to increase meaningful feedback to radiologists as well as to automate tasks that are currently manual and time-consuming. When deploying AI within the clinical workflow, there are many challenges that may slow down or otherwise affect the integration. Careful consideration of the way in which radiologists may expect to interact with AI results should be undertaken to meaningfully deploy radiology AI in a safe and effective way.

Mar
27
Fri
2020
Mini-Grand Rounds - Aruna Subramanian, MD, and David Ha, PharmD @ Zoom
Mini-Grand Rounds – Aruna Subramanian, MD, and David Ha, PharmD
Mar 27 @ 7:00 am – 7:30 am Zoom
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
Mini-Grand Rounds – Payam Massaband, MD
Mar 30 @ 7:00 am – 7:30 am Zoom
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
Mini-Grand Rounds – Michele Barry, MD, FACP
Apr 3 @ 7:00 am – 7:30 am Zoom
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
Mini-Grand Rounds – Garry Gold, MD
Apr 6 @ 7:00 am – 7:30 am Zoom
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
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
Mini-Grand Rounds – Alison Kerr
Apr 10 @ 7:00 am – 7:30 am Zoom
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
Mini-Grand Rounds – Sam Shen, MD, PhD
Apr 13 @ 7:00 am – 7:30 am Zoom
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.