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Deep learning-based electroencephalography analysis: a systematic review
Roy, Yannick, Banville, Hubert, Albuquerque, Isabela, Gramfort, Alexandre, Falk, Tiago H, Faubert, Jocelyn
Published in Journal of neural engineering (01.10.2019)
Published in Journal of neural engineering (01.10.2019)
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Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification
Qiu, Shangran, Joshi, Prajakta S, Miller, Matthew I, Xue, Chonghua, Zhou, Xiao, Karjadi, Cody, Chang, Gary H, Joshi, Anant S, Dwyer, Brigid, Zhu, Shuhan, Kaku, Michelle, Zhou, Yan, Alderazi, Yazan J, Swaminathan, Arun, Kedar, Sachin, Saint-Hilaire, Marie-Helene, Auerbach, Sanford H, Yuan, Jing, Sartor, E Alton, Au, Rhoda, Kolachalama, Vijaya B
Published in Brain (London, England : 1878) (01.06.2020)
Published in Brain (London, England : 1878) (01.06.2020)
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Deep learning-based transformation of H&E stained tissues into special stains
de Haan, Kevin, Zhang, Yijie, Zuckerman, Jonathan E., Liu, Tairan, Sisk, Anthony E., Diaz, Miguel F. P., Jen, Kuang-Yu, Nobori, Alexander, Liou, Sofia, Zhang, Sarah, Riahi, Rana, Rivenson, Yair, Wallace, W. Dean, Ozcan, Aydogan
Published in Nature communications (12.08.2021)
Published in Nature communications (12.08.2021)
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Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach
Mirabnahrazam, Ghazal, Ma, Da, Beaulac, Cédric, Lee, Sieun, Popuri, Karteek, Lee, Hyunwoo, Cao, Jiguo, Wang, Lei, Galvin, James E, Beg, Mirza Faisal
Published in Alzheimer's & dementia (01.12.2022)
Published in Alzheimer's & dementia (01.12.2022)
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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain–computer interface
Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai
Published in Journal of neural engineering (01.02.2024)
Published in Journal of neural engineering (01.02.2024)
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Identifying facial phenotypes of genetic disorders using deep learning
Gurovich, Yaron, Hanani, Yair, Bar, Omri, Nadav, Guy, Fleischer, Nicole, Gelbman, Dekel, Basel-Salmon, Lina, Krawitz, Peter M., Kamphausen, Susanne B., Zenker, Martin, Bird, Lynne M., Gripp, Karen W.
Published in Nature medicine (01.01.2019)
Published in Nature medicine (01.01.2019)
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Deep learning for molecular design—a review of the state of the art
Elton, Daniel C., Boukouvalas, Zois, Fuge, Mark D., Chung, Peter W.
Published in Molecular systems design & engineering (01.08.2019)
Published in Molecular systems design & engineering (01.08.2019)
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Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation
Karimi, Davood, Nir, Guy, Fazli, Ladan, Black, Peter C., Goldenberg, Larry, Salcudean, Septimiu E.
Published in IEEE journal of biomedical and health informatics (01.05.2020)
Published in IEEE journal of biomedical and health informatics (01.05.2020)
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Deep learning algorithms for automated detection of Crohn’s disease ulcers by video capsule endoscopy
Klang, Eyal, Barash, Yiftach, Margalit, Reuma Yehuda, Soffer, Shelly, Shimon, Orit, Albshesh, Ahmad, Ben-Horin, Shomron, Amitai, Marianne Michal, Eliakim, Rami, Kopylov, Uri
Published in Gastrointestinal endoscopy (01.03.2020)
Published in Gastrointestinal endoscopy (01.03.2020)
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Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI
Zhu, Wenyong, Sun, Liang, Huang, Jiashuang, Han, Liangxiu, Zhang, Daoqiang
Published in IEEE transactions on medical imaging (01.09.2021)
Published in IEEE transactions on medical imaging (01.09.2021)
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FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
Bermejo, Enrique, Fernandez-Blanco, Enrique, Valsecchi, Andrea, Mesejo, Pablo, Ibáñez, Oscar, Imaizumi, Kazuhiko
Published in Expert Systems with Applications (30.12.2022)
Published in Expert Systems with Applications (30.12.2022)
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Deep learning–based MR‐to‐CT synthesis: The influence of varying gradient echo–based MR images as input channels
Florkow, Mateusz C., Zijlstra, Frank, Willemsen, Koen, Maspero, Matteo, Berg, Cornelis A. T., Kerkmeijer, Linda G. W., Castelein, René M., Weinans, Harrie, Viergever, Max A., Stralen, Marijn, Seevinck, Peter R.
Published in Magnetic resonance in medicine (01.04.2020)
Published in Magnetic resonance in medicine (01.04.2020)
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Deep learning–based velocity antialiasing of 4D‐flow MRI
Berhane, Haben, Scott, Michael B., Barker, Alex J., McCarthy, Patrick, Avery, Ryan, Allen, Brad, Malaisrie, Chris, Robinson, Joshua D., Rigsby, Cynthia K., Markl, Michael
Published in Magnetic resonance in medicine (01.07.2022)
Published in Magnetic resonance in medicine (01.07.2022)
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A deep learning approach for Parkinson’s disease diagnosis from EEG signals
Oh, Shu Lih, Hagiwara, Yuki, Raghavendra, U., Yuvaraj, Rajamanickam, Arunkumar, N., Murugappan, M., Acharya, U. Rajendra
Published in Neural computing & applications (01.08.2020)
Published in Neural computing & applications (01.08.2020)
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Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach
Duan, Jinming, Bello, Ghalib, Schlemper, Jo, Bai, Wenjia, Dawes, Timothy J. W., Biffi, Carlo, de Marvao, Antonio, Doumoud, Georgia, O'Regan, Declan P., Rueckert, Daniel
Published in IEEE transactions on medical imaging (01.09.2019)
Published in IEEE transactions on medical imaging (01.09.2019)
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Systematic study on deep learning-based plant disease detection or classification
Sunil, C. K., Jaidhar, C. D., Patil, Nagamma
Published in The Artificial intelligence review (01.12.2023)
Published in The Artificial intelligence review (01.12.2023)
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