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Deep Learning in Medical Biology Symposium

Learn about the latest methods being used to address today’s fundamental biomedical questions by using state-of-the art deep learning networks.
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Deep Learning in Medical Biology (DLiMB) Symposium
Date: 29 October 2020
Time: 8am-4pm Melbourne time (GMT+10)
Venue: Online – Zoom
Registration: Free – RSVP essential
Contact: DLiMB_2020@wehi.edu.au
Keynote speakers
- Anna Kreshuk
Group Leader at European Molecular Biology Laboratory (EMBL), Heidelberg, Germany - Shantanu Singh
Senior Group Leader, Imaging Platform, Broad Institute, Massachusetts, USA - Priya Rani
School of Engineering, RMIT University, Australia - Natalie Gunn
Healthcare Lead, IBM Research Australia
Time |
Speaker |
Topic |
8:00 – 8:10am |
|
Welcome and introduction |
8:10 – 9am |
Anna Kreshuk, European Molecular Biology Laboratory (EMBL) |
3D image segmentation at scale (Invited talk) |
9:00 – 9:50am |
Shantanu Singh, Broad Institute |
Accelerating Drug Discovery through the Power of Microscopy Imaging and Deep Learning (Invited talk) |
9:50 – 10:00am |
Break |
|
10:00 – 10:20am |
Genevieve Buckley, Monash University |
Adaptive image acquisition: combining deep learning sample segmentation with automated microscope control |
10:20 – 10:40am |
Rashindrie Perera, University of Melbourne |
Deep feature based classification of Breast Cancer Whole Slide Images using Tumor Infiltrating Lymphocyte Grade |
10:40 – 11:00am |
Ben Croker, University of California San Diego |
Analysis of cell death signaling using StarDist |
11:00 – 11:20am |
Hui Li, University of Melbourne |
Bi-Objective Optimisation in Single Cell Variational Inference |
11:20 – 11:40am |
Sonika Tyagi, Monash University |
Linc2function: An Artificial Neural Network (ANN) model to annotate lncRNA transcripts |
11:40 – 12:40pm |
Lunch Break |
|
12:40 – 1:20pm |
Liam Fearnley (40 mins), WEHI |
Implementing machine and deep learning methods |
1:20 – 1:40pm |
Tamasha Malepathirana, University of Melbourne |
A Convolutional Neural Network architecture for complex Multi-Electrode Array signal pattern analysis |
1:40 – 2:10pm |
Natalie Gunn, IBM Research |
Through the looking glass: how AI can make your eye the window to your health (Invited talk) |
2:10 – 2:30pm |
Break |
|
2.30 – 2:50pm |
Chris Woodruff, WEHI |
Microbiome characterisation using deep learning to merge multiple regions of the ribosomal RNA operon |
2:50 – 3:30pm |
Priya Rani, RMIT University |
Attention Augmented U-Net (AA-UNet) for semantic segmentation of lung infections in COVID-19 patients (Invited talk) |
3:30 – 3:50pm |
Tobias Rasse, Max Planck Institute for Heart and Lung Research |
OpSeF: Open source Python framework for collaborative instance segmentation of bioimages |
3:50 – 4:00pm |
Close |
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Diversity and Inclusion
The symposium will be an inclusive environment where diverse voices are heard and respected. We aim to:
- Achieve gender parity in speakers and symposium chairs
- Foster a spirit of inclusiveness for all symposium attendees
- Encourage participation from under-represented groups, including Aboriginal and Torres Strait Islander peoples
- Create a space where everyone can be their authentic selves, including those from the LGBTIQA+ community
Organising committee members
- Lachlan Whitehead, WEHI
- Nina Tubau, WEHI
- Tim Blackmore, WEHI
- Soroor Zadeh, WEHI
- Heejung Shim, University of Melbourne
- Daryl Wilding-McBride, WEHI