activity
20172026
most citedAxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks

175 citations · 175 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework

Hager Radi Abdelwahed, Toluwaleke Olutayo, Chirag Goel +7

Canada's increasing wildfire activity requires frequent national hazard mapping to guide proactive mitigation, including fuel management, land-use planning, infrastructure protecti…

cs.CV2026

CLIP Is Shortsighted: Paying Attention Beyond the First Sentence

Marc-Antoine Lavoie, Anas Mahmoud, Aldo Zaimi +2

CLIP models learn transferable multi-modal features via image-text contrastive learning on internet-scale data. They are widely used in zero-shot classification, multi-modal retrie…

cs.CV2024

CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset

Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani +5

Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are under…

cs.LG2024

Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks

Sina Sarparast, Aldo Zaimi, Maximilian Ebert +1

Protein dynamics play a crucial role in many biological processes and drug interactions. However, measuring, and simulating protein dynamics is challenging and time-consuming. Whil…

cs.CV2017★ 175 cited

AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks

Aldo Zaimi, Maxime Wabartha, Victor Herman +3

Segmentation of axon and myelin from microscopy images of the nervous system provides useful quantitative information about the tissue microstructure, such as axon density and myel…