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10/27/2022
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction
The paper proposes a novel hybrid discovery Radiomics framework that sim...
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10/12/2022
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks
Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved...
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12/01/2021
TEDGE-Caching: Transformer-based Edge Caching Towards 6G Networks
As a consequence of the COVID-19 pandemic, the demand for telecommunicat...
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10/17/2021
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans
Lung cancer is the leading cause of mortality from cancer worldwide and ...
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09/19/2021
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
The objective of this study is to develop a robust deep learning-based f...
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07/04/2021
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans
Novel Coronavirus disease (COVID-19) is a highly contagious respiratory ...
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05/31/2021
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network
Reverse transcription-polymerase chain reaction (RT-PCR) is currently th...
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10/30/2020
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks
The global outbreak of the novel corona virus (COVID-19) disease has dra...
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10/30/2020
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans
The newly discovered Corona virus Disease 2019 (COVID-19) has been globa...
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09/28/2020
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 c...
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04/06/2020
