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The Eighth Edition of TNM Staging of Lung Cancer: Reference Chart and Diagrams

The oncologist (Dayton, Ohio), 2018-07, Vol.23 (7), p.844-848

2018

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A review on absolute visual localization for UAV

Robotics and autonomous systems, 2021-01, Vol.135, p.103666, Article 103666

2021

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Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation

Sensors (Basel, Switzerland), 2022-03, Vol.22 (5), p.1977

2022

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Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (7), p.1821

2023

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Applying Deep Learning for Breast Cancer Detection in Radiology

Current oncology (Toronto), 2022-11, Vol.29 (11), p.8767-8793

2022

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Unmanned Aerial Vehicles for Wildland Fires: Sensing, Perception, Cooperation and Assistance

Drones (Basel), 2021-03, Vol.5 (1), p.15

2021

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Wildfire Segmentation Using Deep Vision Transformers

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (17), p.3527

2021

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Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction

Fire (Basel, Switzerland), 2023-05, Vol.6 (5), p.192

2023

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Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays

Journal of clinical medicine, 2022-05, Vol.11 (11), p.3013

2022

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SWIFT: Simulated Wildfire Images for Fast Training Dataset

Remote sensing (Basel, Switzerland), 2024-05, Vol.16 (9), p.1627

2024

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Computer vision for wildfire research: An evolving image dataset for processing and analysis

Fire safety journal, 2017-09, Vol.92, p.188-194

2017

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Deep learning for report generation on chest X-ray images

Computerized medical imaging and graphics, 2024-01, Vol.111, p.102320-102320, Article 102320

2024

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End-to-End Transformer-Based Models in Textual-Based NLP

AI (Basel), 2023-01, Vol.4 (1), p.54-110

2023

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Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers

Computers (Basel), 2023-05, Vol.12 (5), p.106

2023

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Design and validation of an orally administrated active L. fermentum-L. acidophilus probiotic formulation using colorectal cancer Apc Min/+ mouse model

Applied microbiology and biotechnology, 2017-03, Vol.101 (5), p.1999-2019

2017

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Explainable end-to-end deep learning for diabetic retinopathy detection across multiple datasets

Journal of medical imaging (Bellingham, Wash.), 2020-07, Vol.7 (4), p.044503-044503

2020

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DeepPress: guided press release topic-aware text generation using ensemble transformers

Neural computing & applications, 2023-06, Vol.35 (17), p.12847-12874

2023

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Violence Detection in Videos using Deep Recurrent and Convolutional Neural Networks

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, p.154-159

2020

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BoucaNet: A CNN-Transformer for Smoke Recognition on Remote Sensing Satellite Images

Fire (Basel, Switzerland), 2023-12, Vol.6 (12), p.455

2023

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A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography

Diagnostics (Basel), 2023-01, Vol.13 (1), p.159

2023

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TWIST1 is a molecular marker for a poor prognosis in oral cancer and represents a potential therapeutic target

Cancer, 2014-02, Vol.120 (3), p.352-362

2014

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Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image

Fire (Basel, Switzerland), 2024-10, Vol.7 (10), p.343

2024

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Hospital Re-Admission Prediction Using Named Entity Recognition and Explainable Machine Learning

Diagnostics (Basel), 2024-09, Vol.14 (19), p.2151

2024

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MalBERTv2: Code Aware BERT-Based Model for Malware Identification

Big data and cognitive computing, 2023-06, Vol.7 (2), p.60

2023

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Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models

Fire (Basel, Switzerland), 2024-04, Vol.7 (4), p.135

2024

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The Eighth Edition of TNM Staging of Lung Cancer: Reference Chart and Diagrams

A review on absolute visual localization for UAV

Deep Learning and Transformer Approaches for UAV-Based Wildfire Detection and Segmentation

Deep Learning Approaches for Wildland Fires Remote Sensing: Classification, Detection, and Segmentation

Applying Deep Learning for Breast Cancer Detection in Radiology

Unmanned Aerial Vehicles for Wildland Fires: Sensing, Perception, Cooperation and Assistance

Wildfire Segmentation Using Deep Vision Transformers

Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction

Explainable Vision Transformers and Radiomics for COVID-19 Detection in Chest X-rays

SWIFT: Simulated Wildfire Images for Fast Training Dataset

Computer vision for wildfire research: An evolving image dataset for processing and analysis

Deep learning for report generation on chest X-ray images

End-to-End Transformer-Based Models in Textual-Based NLP

Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers

Design and validation of an orally administrated active L. fermentum-L. acidophilus probiotic formulation using colorectal cancer Apc Min/+ mouse model

Explainable end-to-end deep learning for diabetic retinopathy detection across multiple datasets

DeepPress: guided press release topic-aware text generation using ensemble transformers

Violence Detection in Videos using Deep Recurrent and Convolutional Neural Networks

BoucaNet: A CNN-Transformer for Smoke Recognition on Remote Sensing Satellite Images

A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography

TWIST1 is a molecular marker for a poor prognosis in oral cancer and represents a potential therapeutic target

Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image

Hospital Re-Admission Prediction Using Named Entity Recognition and Explainable Machine Learning

MalBERTv2: Code Aware BERT-Based Model for Malware Identification

Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models

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