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01/25/2023
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
While CNN-based methods have been the cornerstone of medical image segme...
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10/27/2022
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?
Segmentation of Multiple Sclerosis (MS) lesions is a challenging problem...
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07/18/2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
Convolutional neural networks (CNNs) have been the consensus for medical...
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03/11/2022
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
Dealing with missing modalities in Magnetic Resonance Imaging (MRI) and ...
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02/15/2022
Label fusion and training methods for reliable representation of inter-rater uncertainty
Medical tasks are prone to inter-rater variability due to multiple facto...
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10/13/2021
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T
The spinal cord (SC), which conveys information between the brain and th...
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09/12/2021
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
This paper gives a detailed description of the pipelines used for the 2n...
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08/14/2021
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
Labeling vertebral discs from MRI scans is important for the proper diag...
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05/05/2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
While multiple studies have explored the relation between inter-rater va...
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02/18/2021
Benefits of Linear Conditioning for Segmentation using Metadata
Medical images are often accompanied by metadata describing the image (v...
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12/23/2020
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
Spinal cord tumors lead to neurological morbidity and mortality. Being a...
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11/18/2020
SoftSeg: Advantages of soft versus binary training for image segmentation
Most image segmentation algorithms are trained on binary masks formulate...
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10/20/2020
ivadomed: A Medical Imaging Deep Learning Toolbox
ivadomed is an open-source Python package for designing, end-to-end trai...
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03/09/2020
Spine intervertebral disc labeling using a fully convolutional redundant counting model
Labeling intervertebral discs is relevant as it notably enables clinicia...
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03/09/2020
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Despite recent improvements in medical image segmentation, the ability t...
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10/16/2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
The (medical) image semantic segmentation task consists of classifying e...
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08/02/2019
U-Net Fixed-Point Quantization for Medical Image Segmentation
Model quantization is leveraged to reduce the memory consumption and the...
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07/11/2019
Deep Active Learning for Axon-Myelin Segmentation on Histology Data
Semantic segmentation is a crucial task in biomedical image processing, ...
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11/14/2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Recent deep learning methods for the medical imaging domain have reached...
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07/12/2018
Deep semi-supervised segmentation with weight-averaged consistency targets
Recently proposed techniques for semi-supervised learning such as Tempor...
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05/16/2018
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
The spinal cord is frequently affected by atrophy and/or lesions in mult...
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11/03/2017
AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
Segmentation of axon and myelin from microscopy images of the nervous sy...
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10/02/2017