Quantitative CT Analysis in Chronic Hypersensitivity Pneumonitis: A Convolutional Neural Network Approach

Hypersensitivity Pneumonitis ◽

Network Approach ◽

Quantitative Ct ◽

Neural Network Approach ◽

Ct Analysis ◽

Chronic Hypersensitivity Pneumonitis ◽

Quantitative Ct Analysis

A Convolutional Neural Network Approach to Quantify Lung Disease Progression in Patients with Fibrotic Hypersensitivity Pneumonitis (HP)

Academic Radiology ◽

10.1016/j.acra.2021.10.005 ◽

2021 ◽

Author(s):

Lorenzo Aliboni ◽

Olívia Meira Dias ◽

Bruno Guedes Baldi ◽

Marcio Valente Yamada Sawamura ◽

Rodrigo Caruso Chate ◽

...

Keyword(s):

Neural Network ◽

Lung Disease ◽

Disease Progression ◽

Hypersensitivity Pneumonitis ◽

Network Approach ◽

Estimating ambient visibility in the presence of fog: a deep convolutional neural network approach

Personal and Ubiquitous Computing ◽

10.1007/s00779-019-01334-w ◽

2019 ◽

Cited By ~ 1

Author(s):

Fatma Outay ◽

Bilal Taha ◽

Hazar Chaabani ◽

Faouzi Kamoun ◽

Naoufel Werghi ◽

...

Keyword(s):

Neural Network ◽

Deep Convolutional Neural Network ◽

Network Approach ◽

Packet Vision: a convolutional neural network approach for network traffic classification

2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) ◽

10.1109/sibgrapi51738.2020.00042 ◽

2020 ◽

Author(s):

Rodrigo Moreira ◽

Larissa Ferreira Rodrigues ◽

Pedro Frosi Rosa ◽

Rui L. Aguiar ◽

Flavio de Oliveira Silva

Keyword(s):

Neural Network ◽

Network Traffic ◽

Traffic Classification ◽

Network Approach ◽

Neural Network Approach ◽

Network Traffic Classification

2019 8th International Conference System Modeling and Advancement in Research Trends (SMART) ◽

A Convolutional Neural Network Approach to Recognize the Insect: A Perspective in Bangladesh

10.1109/smart46866.2019.9117442 ◽

2019 ◽

Author(s):

Md. Imran Hossain ◽

Bidhan Paul ◽

Abdus Sattar ◽

Md. Mushfiqul Islam

Keyword(s):

Neural Network ◽

Network Approach ◽

2020 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA) ◽

Offline Handwritten Signature Recognition using Convolutional Neural Network Approach

10.1109/contesa50436.2020.9302868 ◽

2020 ◽

Author(s):

Fazal Noor ◽

Ahmed E. Mohamed ◽

Falah A. S. Ahmed ◽

Salah K. Taha

Keyword(s):

Neural Network ◽

Network Approach ◽

Neural Network Approach ◽

Signature Recognition ◽

Handwritten Signature

Two Dimensional Convolutional Neural Network Approach for Real-Time Bangla Sign Language Characters Recognition and Translation

SN Computer Science ◽

10.1007/s42979-021-00783-6 ◽

2021 ◽

Vol 2 (5) ◽

Author(s):

Md. Shahinur Alam ◽

Mahib Tanvir ◽

Dip Kumar Saha ◽

Sajal K. Das

Keyword(s):

Neural Network ◽

Real Time ◽

Sign Language ◽

Two Dimensional ◽

Network Approach ◽

P1-118: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH

Alzheimer s & Dementia ◽

10.1016/j.jalz.2018.06.121 ◽

2006 ◽

Vol 14 (7S_Part_5) ◽

pp. P315-P316 ◽

Cited By ~ 1

Author(s):

Ye Yuan ◽

Zhangyang Wang ◽

Wendy Lee ◽

Paul VanGilder ◽

Yinghua Chen ◽

...

Keyword(s):

Neural Network ◽

Deep Learning ◽

Network Approach ◽

Amyloid Burden ◽

Two-stream deep convolutional neural network approach for RGB-D face recognition

10.1063/5.0053043 ◽

2021 ◽

Author(s):

P. Shunmugam ◽

K. Kamarudin ◽

L. M. Kamarudin ◽

A. Zakaria ◽

H. Nishizaki

Keyword(s):

Neural Network ◽

Face Recognition ◽

Deep Convolutional Neural Network ◽

Network Approach ◽

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach

Computers Environment and Urban Systems ◽

10.1016/j.compenvurbsys.2021.101619 ◽

2021 ◽

Vol 87 ◽

pp. 101619

Author(s):

Sheng Hu ◽

Song Gao ◽

Liang Wu ◽

Yongyang Xu ◽

Ziwei Zhang ◽

...

Keyword(s):

Neural Network ◽

Road Segment ◽

Network Approach ◽

Trajectory Data ◽

Neural Network Approach ◽

Urban Function ◽

Taxi Trajectory

Detection and Semantic Segmentation of Rib Fractures using a Convolutional Neural Network Approach

10.1109/tensymp52854.2021.9550883 ◽

2021 ◽

Author(s):

Zineddine N. Haitaamar ◽

Nidhal Abdulaziz

Keyword(s):

Neural Network ◽

Semantic Segmentation ◽

Rib Fractures ◽

Network Approach ◽