106 citations · 134 across the 10 of their papers we have counts for
10 papers
Multi-domain learning CNN model for microscopy image classification
Duc Hoa Tran, Michel Meunier, Farida Cheriet
For any type of microscopy image, getting a deep learning model to work well requires considerable effort to select a suitable architecture and time to train it. As there is a wide…
Improving the quality of dental crown using a Transformer-based method
Golriz Hosseinimanesh, Farnoosh Ghadiri, Ammar Alsheghri +4
Designing a synthetic crown is a time-consuming, inconsistent, and labor-intensive process. In this work, we present a fully automatic method that not only learns human design dent…
Semi-supervised segmentation of tooth from 3D Scanned Dental Arches
Ammar Alsheghri, Farnoosh Ghadiri, Ying Zhang +4
Teeth segmentation is an important topic in dental restorations that is essential for crown generation, diagnosis, and treatment planning. In the dental field, the variability of i…
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Clément Playout, Ola Ahmad, Freddy Lecue +1
Advanced Driver-Assistance Systems rely heavily on perception tasks such as semantic segmentation where images are captured from large field of view (FoV) cameras. State-of-the-art…
Three-dimensional Segmentation of the Scoliotic Spine from MRI using Unsupervised Volume-based MR-CT Synthesis
Enamundram M. V. Naga Karthik, Catherine Laporte, Farida Cheriet
Vertebral bone segmentation from magnetic resonance (MR) images is a challenging task. Due to the inherent nature of the modality to emphasize soft tissues of the body, common thre…
End-to-End Deep Learning Model for Cardiac Cycle Synchronization from Multi-View Angiographic Sequences
Raphaël Royer-Rivard, Fantin Girard, Nagib Dahdah +1
Dynamic reconstructions (3D+T) of coronary arteries could give important perfusion details to clinicians. Temporal matching of the different views, which may not be acquired simult…
Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks
Rafat Damseh, Patrick Delafontaine-Martel, Philippe Pouliot +2
Generating computational anatomical models of cerebrovascular networks is vital for improving clinical practice and understanding brain oxygen transport. This is achieved by extrac…
Joint segmentation and classification of retinal arteries/veins from fundus images
Fantin Girard, Conrad Kavalec, Farida Cheriet
Objective Automatic artery/vein (A/V) segmentation from fundus images is required to track blood vessel changes occurring with many pathologies including retinopathy and cardiovasc…
Memory Efficient Multi-Scale Line Detector Architecture for Retinal Blood Vessel Segmentation
Hamza Bendaoudi, Farida Cheriet, J. M. Pierre Langlois
This paper presents a memory efficient architecture that implements the Multi-Scale Line Detector (MSLD) algorithm for real-time retinal blood vessel detection in fundus images on…
Accurate and Efficient Hyperbolic Tangent Activation Function on FPGA using the DCT Interpolation Filter
Ahmed M. Abdelsalam, J. M. Pierre Langlois, F. Cheriet
Implementing an accurate and fast activation function with low cost is a crucial aspect to the implementation of Deep Neural Networks (DNNs) on FPGAs. We propose a high-accuracy ap…