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Krzysztof Geras – Towards solving breast cancer diagnosis with deep learning (AI PHI Affinity Group)

April 7, 2023 @ 9:00 am - 10:00 am

Free
Announcement for the April 2023 Affinity Group Meeting

Thank you for coming!

The recording for this meeting is available below:

Topic

Towards solving breast cancer diagnosis with deep learning

Although deep learning has made stunning progress in the last few years, both in terms of engineering and theory, its real-life applications in medicine remain rather limited. One of the fields that has been anticipated to be revolutionized by deep learning for some time, yet proved to be much harder than many expected, is medical imaging. In this talk I will shed some light on my 7-year long journey in developing deep learning methods for medical imaging, in particular, for breast cancer screening. I will explain how we created a deep learning model that can perform a diagnosis with an accuracy comparable to experienced radiologists. To achieve this goal we needed a lot of perseverance, novel neural network architectures and training methods specific to medical imaging. I will also discuss the limitations of our work and what can likely be achieved in the next few years.

Presented by Krzysztof Geras

Krzysztof is an assistant professor at NYU Grossman School of Medicine and an affiliated faculty at NYU Center for Data Science and at Courant Institute for Mathematical Sciences. His main interests are in unsupervised learning with neural networks, model compression, transfer learning, evaluation of machine learning models and applications of these techniques to medical imaging. He previously completed a postdoc at NYU with Kyunghyun Cho, a PhD at the University of Edinburgh with Charles Sutton and an MSc as a visiting student at the University of Edinburgh with Amos Storkey. His BSc is from the University of Warsaw. He also completed industrial internships in Microsoft Research (Redmond, working with Rich Caruana and Abdel-rahman Mohamed), Amazon (Berlin, Ralf Herbrich’s group), Microsoft (Bellevue) and J.P. Morgan (London).

Artificial Intelligence in Cancer Research – AI PHI Affinity Group

(First Friday of each month)

This group was formed to discuss the current trends and applications of artificial intelligence in cancer research and clinical practice. The group brings together AI researchers in a variety of fields (computer science, engineering, nutrition, epidemiology radiology, etc) with clinicians and advocates. Students, trainees and faculty with any or no background in AI are encouraged to attend. The goal is to foster collaborative interactions to solve problems in cancer that were thought to be unsolvable a decade ago before the broad use of deep learning and AI in medicine.

Contact: Dr. John Shepherd at johnshep@hawaii.edu or Peter Washington at pyw@hawaii.edu

Details

Date:
April 7, 2023
Time:
9:00 am - 10:00 am
Cost:
Free
Event Category:

Venue

https://hawaii.zoom.us/j/98084973295

Organizer

Artificial Intelligence and Precision Health Institute (AI PHI)
View Organizer Website