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03/18/2023
ExplainFix: Explainable Spatially Fixed Deep Networks
Is there an initialization for deep networks that requires no learning? ...
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03/01/2022
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector
Cancer is one of the leading causes of death in the developed world. Can...
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12/29/2021
AutoFITS: Automatic Feature Engineering for Irregular Time Series
A time series represents a set of observations collected over time. Typi...
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07/27/2020
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Diabetic Retinopathy (DR) is a leading cause of blindness in working age...
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07/27/2020
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
Diabetic Retinopathy is the leading cause of blindness in the working-ag...
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01/15/2020
GPU acceleration of CaNS for massively-parallel direct numerical simulations of canonical fluid flows
This work presents the GPU acceleration of the open-source code CaNS for...
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08/28/2019
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Active Learning methods create an optimized and labeled training set fro...
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10/09/2018
UOLO - automatic object detection and segmentation in biomedical images
We propose UOLO, a novel framework for the simultaneous detection and se...
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09/25/2018
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
Deep learning models have been successfully used in medical image analys...
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03/10/2017
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Dermoscopic skin images are often obtained with different imaging device...
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01/31/2017
