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05/24/2022
Constrained Monotonic Neural Networks
Deep neural networks are becoming increasingly popular in approximating ...
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02/16/2022
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Age-related macular degeneration (AMD) is the leading cause of visual im...
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10/05/2021
Attention Augmented Convolutional Transformer for Tabular Time-series
Time-series classification is one of the most frequently performed tasks...
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09/03/2020
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report
Age related macular degeneration (AMD) is one of the major causes for bl...
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07/15/2020
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks
One of the important parameters for the assessment of glaucoma is optic ...
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01/08/2020
A context based deep learning approach for unbalanced medical image segmentation
Automated medical image segmentation is an important step in many medica...
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09/04/2019
ALIME: Autoencoder Based Approach for Local Interpretability
Machine learning and especially deep learning have garneredtremendous po...
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08/14/2019
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
For the task of medical image segmentation, fully convolutional network ...
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03/29/2019
Deep Network for Capacitive ECG Denoising
Continuous monitoring of cardiac health under free living condition is c...
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02/12/2019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram
Respiratory ailments afflict a wide range of people and manifests itself...
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02/11/2019
Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation
Medical image segmentation is a primary task in many applications, and t...
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02/04/2019
Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation
Glaucoma is a serious ocular disorder for which the screening and diagno...
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01/25/2019
