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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
04/29/2020 ∙ by Arjun D. Desai, et al. ∙
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Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
Creating large scale high-quality annotations is a known challenge in me...
08/26/2019 ∙ by Yucheng Liu, et al. ∙
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Weakly Supervised Segmentation by A Deep Geodesic Prior
The performance of the state-of-the-art image segmentation methods heavi...
08/18/2019 ∙ by Aliasghar Mortazi, et al. ∙
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PAN: Projective Adversarial Network for Medical Image Segmentation
Adversarial learning has been proven to be effective for capturing long-...
06/11/2019 ∙ by Naji Khosravan, et al. ∙
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On Attention Modules for Audio-Visual Synchronization
With the development of media and networking technologies, multimedia ap...
12/14/2018 ∙ by Naji Khosravan, et al. ∙
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S4ND: Single-Shot Single-Scale Lung Nodule Detection
The state of the art lung nodule detection studies rely on computational...
05/06/2018 ∙ by Naji Khosravan, et al. ∙
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A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
There are at least two categories of errors in radiology screening that ...
02/17/2018 ∙ by Naji Khosravan, et al. ∙
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Semi-supervised multi-task learning for lung cancer diagnosis
Early detection of lung nodules is of great importance in lung cancer sc...
02/17/2018 ∙ by Naji Khosravan, et al. ∙
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Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation
This study introduced a novel system, called Gaze2Segment, integrating b...
08/10/2016 ∙ by Naji Khosravan, et al. ∙
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