BIRC NEWS

Congratulations to all the Western award winners 
at the 2024 ImNO. 


ORAL AWARD WINNERS

Oral Session 1: Deep/Machine Learning

Lee Sikstrom, Western University

Innovative Solutions for Tissue Safety: Miniaturized Optical Sensors, Single-Pixel Imaging, and Machine Learning for Neurosurgical Retractors

Oral Session 2: MRI I

Sam Laxer, Western University

An Entirely Noninvasive Restraint for Multi-Modal Functional Magnetic Resonance Imaging in Awake Mice

Oral Session 6: Cancer

Jin-Young Bang, London Regional Cancer Program

Analyzing the Effect of Neoadjuvant Stereotactic Ablative Radiotherapy (SABR) on Pancreatic Tumour Perfusion Using Computed Tomography Perfusion (CTP)

Oral Session 10: Neuroimaging 1

Naila Rahman, Western University

Microstructural MRI Evolution During Adult Mouse Brain Maturation

Oral Session 12: Neuroimaging 2

Mahdieh Varvani Farahani, Western University

Hippocampal Subfield-Specific Volume and Diffusion Changes in Treatment Resistant Depression

Oral Session 16: MRI 2

Miriam Hewlett, Western University 

Correction of Motion and Resulting Field Offsets for Quantitative MRI Using Navigators

Oral Session 17: Cellular and Molecular

Sophia Trozzo, Western University 

Comparing the Cellular Detection Limits of Magnetic Particle Imaging and Bioluminescence Imaging 

PITCH AWARD WINNERS

Pitch Session 3: Deep Learning

Timothy Yau, Western University    

A Deep Learning Approach to Markerless Tumour Motion Forecasting Based on Optical Surface Imaging and Volumetric 4D-CT

Pitch Session 4: MRI

Jake Hamilton, Western University    

Robust Diffusional Kurtosis Computation Using Oscillating Gradient Encoding

Pitch Session 7: Device, Hardware, Software Development

Sydney Wilson, Western University

Convolutional Neural Networks for Localization of Radioactive Sources with a Hand-Held Gamma Probe

Pitch Session 8: Cancer

Tiana Trumpour, Western University   

An Automatically Tracked System for Cervical Brachytherapy 3D Ultrasound Imaging

Pitch Session 13: Cardiac, Lung, Image Processing

Alana Lopes, Western University    

Comparing Visual Search Strategies: Pathologists’ Adaptability to Non-Medical Contexts

Pitch Session 19: Cellular and Molecular

Nitara Fernando, Western University    

Magnetic Particle Imaging Serves As a Biomarker for Measuring Tumour Associated Macrophage Density In Vivo

For a complete list of winners please visit the ImNO 2024 website

 

 More News.....

 

 

Events

BIRC Hybrid Seminar Series

Friday, May 24th, 2024 at 4:00pm in MSB 384 and on Zoom:  Click Here to Join Zoom Meeting

Loew_Banner.pngAbstract

Artificial intelligence and machine learning have had a profound impact on medicine, for both clinicians and patients. Deep learning methods are used routinely in diagnosis – especially for medical imaging – and in therapy. The complexity and “black box” nature of deep learning has raised questions about its trustworthiness among some users because the systems’ reasoning cannot be explained. This talk describes some general principles of explainability and our recent efforts to make predictions and decisions about images able to be conveyed more clearly to clinicians. We examine feature mapping and wavelet scattering as plausible candidates and give examples of their application in prostate and colorectal cancer.

About the speaker:

Professor Loew is a professor of biomedical engineering at George Washington University in Washington, D.C.  His Laboratory for Medical Imaging and Image Analysis develops new methods for acquiring—and extracting useful information from—medical images.  His research interests include machine learning, image analysis and perception, and bits of statistics, all as applied to medical images and sometimes to the preservation of cultural heritage.   The disciplines involved include pattern recognition, biomedical image and signal processing, and computer vision, with occasional bits of psychophysics and statistics. Professor Loew is a Fulbright Fellow, and a Fellow of the IEEE, SPIE, and AIMBE.    

5th Annual Immune-Oncology Symposium

Thursday, May 30th 2024 from 8:30am to 4:30pm in the Great Hall at Western U. 
Confirmed speakers include:
Israt Alam, PhD: Senior Scientist in the Radiology Department at Stanford University
Christian Capitini, MD: Tenured associate professor and chief in the Division of Hematology, Oncology, and Bone Marrow Transplant and the Jean R. Finley Professor in Pediatric Hematology and Oncology
Abby Overacre, PhD: Assistant Professor, in the Department of Immunology, and a Member, Tumor Microenvironment Center, UPMC Hillman Cancer Center, University of Pittsburgh
Ravi Patel, MD PhD: Assistant professor at the UPMC Hillman Cancer Center, specializing in the study and treatment of skin, breast, and genitourinary malignancies
Laszlo Radvanyi, PhD: President and Scientific Director of the Ontario Institute for Cancer Research (OICR)
Claire Vanpouille-Box, PhD: Assistant Professor of Cell Biology in Radiation Oncology at Weill Cornell Medical Centre

BIRC Newsletter April 2024 - Issue 22

The BIRC Newsletter (April 2024 - Issue 22) is available HERE

2024 Imaging Conferences

ISMRM 2024, May 4-9, 2024, Singapore, Abstract Submission Deadline: 08 November 2023

SNMMI 2024, June 8-11, 2024, Toronto ON, 2024 Abstract Submission deadline: January 15, 2024 at 11:59 pm ET

BioEM 2024, June 16-21, 2024, , Chania, Crete, Greece.

WMIC 2024, September 9-13, 2024, Montreal, Quebec, Canada

London Imaging Discovery Day 2023

Award Winners

Lifetime Achievement Award 

Grace Parraga & David Holdsworth

Annual Award for Academic Excellence (AAAE)

Jonathan Thiessen (Research) & Amol Mujoomdar (Health Care Leadership)

Chairs Award for Inspiration

Susan Amaral

Tom Munro Award for Best Resident Research Presentation

Naman Siddique

Residents Choice Award for Best Oral Scientific Presentation

Henry Madubuobi

Magna Cum Laude

Salma Dammak, Natalie Li, Henry Madubuobi

Certificate of Merit

Jaryd Christie, David DeVries, Miriam Hewlett, Naman Siddique, Edward Wang, Sydney Wilson

Honourable Mention

Tricia Chinnery, Alicia Cronin, Lisa Garland, Ashley Miduca, Randa Mudathir, Lee Sikstrom