Esophagus segmentation from planning CT images using an atlas-based deep learning approach

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2020.105685 ◽

2020 ◽

Vol 197 ◽

pp. 105685

Author(s):

João Otávio Bandeira Diniz ◽

Jonnison Lima Ferreira ◽

Pedro Henrique Bandeira Diniz ◽

Aristófanes Corrêa Silva ◽

Anselmo Cardoso de Paiva

Keyword(s):

Deep Learning ◽

Ct Images ◽

Learning Approach ◽

Planning Ct

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Severity and Progression Quantification of COVID-19 in CT Images: a new Deep-Learning Approach

10.1109/eexpolytech53083.2021.9614774 ◽

2021 ◽

Author(s):

Faridoddin Shariaty ◽

Vitalii Pavlov ◽

Elena Velichko ◽

Tatiana Pervunina ◽

Mahdi Orooji

Keyword(s):

Deep Learning ◽

Ct Images ◽

Learning Approach

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A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images

European Radiology ◽

10.1007/s00330-020-07044-9 ◽

2020 ◽

Vol 30 (12) ◽

pp. 6517-6527 ◽

Cited By ~ 5

Author(s):

Qianqian Ni ◽

Zhi Yuan Sun ◽

Li Qi ◽

Wen Chen ◽

Yi Yang ◽

...

Keyword(s):

Deep Learning ◽

Ct Images ◽

Chest Ct ◽

Learning Approach

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MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

Radiotherapy and Oncology ◽

10.1016/j.radonc.2019.03.026 ◽

2019 ◽

Vol 136 ◽

pp. 56-63 ◽

Cited By ~ 23

Author(s):

Samaneh Kazemifar ◽

Sarah McGuire ◽

Robert Timmerman ◽

Zabi Wardak ◽

Dan Nguyen ◽

...

Keyword(s):

Deep Learning ◽

Ct Images ◽

Learning Approach ◽

Brain Radiotherapy ◽

Dosimetric Accuracy ◽

Synthetic Ct

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Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images

Physica Medica ◽

10.1016/j.ejmp.2020.09.004 ◽

2020 ◽

Vol 78 ◽

pp. 93-100

Author(s):

Takafumi Nemoto ◽

Natsumi Futakami ◽

Masamichi Yagi ◽

Etsuo Kunieda ◽

Takeshi Akiba ◽

...

Keyword(s):

Prostate Cancer ◽

Radiation Therapy ◽

Deep Learning ◽

Low Cost ◽

Semantic Segmentation ◽

Ct Images ◽

Therapy Planning ◽

Radiation Therapy Planning ◽

Planning Ct

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Multi-class Segmentation of Organ at Risk from Abdominal CT Images: A Deep Learning Approach

10.1007/978-981-16-3153-5_45 ◽

2021 ◽

pp. 425-434

Author(s):

Muhammad Ibrahim Khalil ◽

Mamoona Humayun ◽

N. Z. Jhanjhi ◽

M. N. Talib ◽

Thamer A. Tabbakh

Keyword(s):

At Risk ◽

Deep Learning ◽

Ct Images ◽

Learning Approach ◽

Abdominal Ct ◽

Organ At Risk ◽

Class Segmentation

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FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2018.2858202 ◽

2019 ◽

Vol 38 (1) ◽

pp. 156-166 ◽

Cited By ~ 21

Author(s):

Sarah E. Gerard ◽

Taylor J. Patton ◽

Gary E. Christensen ◽

John E. Bayouth ◽

Joseph M. Reinhardt

Keyword(s):

Deep Learning ◽

Ct Images ◽

Learning Approach

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The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging

International Journal of Cardiology ◽

10.1016/j.ijcard.2020.12.079 ◽

2021 ◽

Author(s):

Mirthe Dekker ◽

Farahnaz Waissi ◽

Ingrid E.M. Bank ◽

Ivana Isgum ◽

Asbjørn M. Scholtens ◽

...

Keyword(s):

Deep Learning ◽

Myocardial Perfusion Imaging ◽

Myocardial Perfusion ◽

Perfusion Imaging ◽

Prognostic Value ◽

Ct Images ◽

Coronary Calcium ◽

Learning Approach ◽

Pet Ct

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Deep Learning Model for Automatic Contouring of Cardiovascular Substructures on Radiotherapy Planning CT Images: Dosimetric Validation and Reader Study based Clinical Acceptability Testing

Radiotherapy and Oncology ◽

10.1016/j.radonc.2021.10.008 ◽

2021 ◽

Author(s):

Miguel Garrett Fernandes ◽

Johan Bussink ◽

Barbara Stam ◽

Robin Wijsman ◽

Dominic A.X. Schinagl ◽

...

Keyword(s):

Deep Learning ◽

Learning Model ◽

Ct Images ◽

Radiotherapy Planning ◽

Deep Learning Model ◽

Planning Ct ◽

Automatic Contouring

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Automated segmentation framework of lung gross tumor volumes on 3D planning CT images using dense V-Net deep learning

International Forum on Medical Imaging in Asia 2019 ◽

10.1117/12.2521509 ◽

2019 ◽

Author(s):

Risa Nakano ◽

Hidetaka Arimura ◽

Mohammad Haekal ◽

Saiji Ohga

Keyword(s):

Deep Learning ◽

Ct Images ◽

Automated Segmentation ◽

Segmentation Framework ◽

Planning Ct

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PD-0550: Esophageal tumor identification by deep learning on treatment planning CT images

Radiotherapy and Oncology ◽

10.1016/s0167-8140(21)00572-7 ◽

2020 ◽

Vol 152 ◽

pp. S305

Keyword(s):

Deep Learning ◽

Treatment Planning ◽

Ct Images ◽

Esophageal Tumor ◽

Tumor Identification ◽

Planning Ct

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