MonMIND 2024
Montreal Medical Imaging Networking Day

MonMIND 2024

(May 1st, 2024, **A-1424, ETS Montreal**)

What: Montreal Medical Imaging Workshop
When: May 1,  2024, 9:45am-3:30pm (plus 4-5pm+ social hour)
Where: ÉTS, room A-1424, Pavillion A, 1100 Notre-Dame St W, Montreal, Quebec H3C 1K3

About MonMIND: Montreal Medical Imaging Networking Day, MonMIND serves as a dynamic hub for students and trainees to showcase their research and engage in high-level scientific exchange with peers and experts. Its primary goal is to spark interdisciplinary collaborations that bridge the gap between technical imaging innovation and real-world clinical applications.

Lunch and Coffee will be provided

Schedule (2024)

9:45am introduction + coffee

10-11am Student Session #1:

1. Mélanie Gaillochet - Automating MedSAM via Prompt Learning with Weak Few-Shot Supervision

2. Sukesh Adiga - Anatomically-aware Uncertainty for semi-supervised segmentation

3. Amar Kumar - DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanation

4. Balamurali Murugesan -  Class and Region-Adaptive Constraints for Network Calibration

11-11:15am - Break

11:15am-12:15pm Keynote: Marc Niethammer - Deep Learning for Image Registration

12:15-1:15pm: Lunch

1:15-2:15pm: Student Session #2:

1. Andrey Titov - Contextual ambient occlusion for interactive clipping of medical volumes

2. Yanan Wang - Astrocyte Segmentation with Curvature Consistency

3. Soorena Salari - FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery

4. Matthew Toews - The Mouse vs The Cheese

2:15-2:30pm - Break

2:30-3:30pm: Student Session #3:

1. Charles Bricout - A Deep Learning Framework for Detection of Motion Artifact in Brain MRI Volumes

2. Tabish Syed - Beyond Neurons: Challenges in Machine Learning for Astrocytes

3. Julio Silva Rodriguez - A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?

4. Srinivasan Ramachandran - Non-contact based Tidal volume and respiratory analysis using imaging

3:30pm social activity (board games and networking)

Keynote 2024 – Marc Niethammer, PhD, UNC

By: Marc Niethammer, PhD, UNC