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08/20/2022
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net
In this work, we present our proposed method to segment the pulmonary ar...
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01/05/2021
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture
We utilize 3-D fully convolutional neural networks (CNN) to segment glio...
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08/14/2020
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
The black-box nature of deep learning models prevents them from being co...
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07/11/2020
Distangling Biological Noise in Cellular Images with a focus on Explainability
The cost of some drugs and medical treatments has risen in recent years ...
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06/05/2020
Structurally aware bidirectional unpaired image to image translation between CT and MR
Magnetic Resonance (MR) Imaging and Computed Tomography (CT) are the pri...
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01/01/2020
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Histopathology tissue analysis is considered the gold standard in cancer...
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09/03/2019
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
The accurate automatic segmentation of gliomas and its intra-tumoral str...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/14/2018
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs
In this manuscript, we present a robust method for glaucoma screening fr...
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01/16/2018
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Deep fully convolutional neural network (FCN) based architectures have s...
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12/06/2017
Automatic Segmentation and Overall Survival Prediction in Gliomas using Fully Convolutional Neural Network and Texture Analysis
In this paper, we use a fully convolutional neural network (FCNN) for th...
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11/26/2016
