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  1. 1
    Skin Lesion Classification Using Hybrid Deep Neural Networks

    Skin Lesion Classification Using Hybrid Deep Neural Networks by Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Isabella Ellinge

    Published 2019
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  2. 2
    Multi-Channel-ResNet: An integration framework towards skin lesion analysis

    Multi-Channel-ResNet: An integration framework towards skin lesion analysis by Songtao Guo, Zhouwang Yang

    Published 2018
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  3. 3
    A Deep Residual Architecture for Skin Lesion Segmentation

    A Deep Residual Architecture for Skin Lesion Segmentation by G. Venkatesh, Yalagala Naresh, Suzanne Little, Noel E. O’Connor

    Published 2018
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  4. 4
    Exudate detection in fundus images using deeply-learnable features

    Exudate detection in fundus images using deeply-learnable features by Parham Khojasteh, Leandro A. Passos, Tiago Carvalho, Edmar Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kumar

    Published 2018
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  5. 5
    Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

    Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and res... by Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou

    Published 2018
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  6. 6
    Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning

    Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning by Tao Chen, Shangqing Liu, Yong Li, Xingyu Feng, Wei Xiong, Xixi Zhao, Yali Yang, Cangui Zhang, Yanfeng Hu, Hao Chen, Lin Tian, Mingli Zhao, Hao Liu, Jiang Yu, Yikai Xu, Yu Zhang, Guoxin Li

    Published 2018
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  7. 7
    Gated-Dilated Networks for Lung Nodule Classification in CT Scans

    Gated-Dilated Networks for Lung Nodule Classification in CT Scans by Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan

    Published 2019
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  8. 8
    Automated Diabetic Macular Edema (DME) Analysis using Fine Tuning with Inception-Resnet-v2 on OCT Images

    Automated Diabetic Macular Edema (DME) Analysis using Fine Tuning with Inception-Resnet-v2 on OCT Images by Ravi Kamble, Genevieve C. Y. Chan, Oscar Perdómo, Manesh Kokare, Fabio A. González, Henning Müller, Fabrice Mériaudeau

    Published 2018
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  9. 9
    Evaluation of Melanoma Diagnosis using Imbalanced Learning

    Evaluation of Melanoma Diagnosis using Imbalanced Learning by Lucas Bezerra Maia, Alan Carlos de Moura Lima, Pedro Santos, Nigel da Silva Lima, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva

    Published 2018
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  10. 10
    Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images

    Optimized Deep Convolutional Neural Networks for Identification of Macular Diseases from Optical Coherence Tomography Images by Qingge Ji, Jie Huang, Wenjie He, Yankui Sun

    Published 2019
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  11. 11
    Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural Networks

    Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural Networks by Marco Domenico Cirillo, Robin Mirdell, Folke Sjöberg, Tuan D. Pham

    Published 2019
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  12. 12
    Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

    Deep Learning for Quality Control of Subcortical Brain 3D Shape Models by Dmitry Petrov, Boris A. Gutman, Е.Е. Кузнецов, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore D. Satterthwaite, Ole A. Andreassen, Stefan Borgwardt, Fleur M. Howells, Nynke A. Groenewold, Aristotle N. Voineskos, Joaquim Raduà, Steven G. Potkin, Benedicto Crespo‐Facorro, Diana Tordesillas-Gutirrez, Li Shen, И. С. Лебедева, Gianfranco Spalletta, Gary Donohoe, Peter Kochunov, Pedro G. P. Rosa, Anthony James, Udo Dannlowski, Bernhard T. Baune, A. Aleman, Ian H. Gotlib, Henrik Walter, Martin Walter, Jair C. Soares, Stefan Ehrlich, Ruben C. Gur, N. Trung Doan, Ingrid Agartz, Lars T. Westlye, Fabienne Harrisberger, Anita Riecher‐Rössler, Anne Uhlmann, Dan J. Stein, Erin W. Dickie, Edith Pomarol‐Clotet, Paola Fuentes‐Claramonte, Erick J. Canales‐Rodríguez, Raymond Salvador, Alexander J. Huang, Roberto Roiz-Santiaez, Shan Cong, Alexander S. Tomyshev, Fabrizio Piras, Daniela Vecchio, Nerisa Banaj, Valentina Ciullo, Elliot Hong, Geraldo F. Busatto, Marcus V. Zanetti, Maurício H. Serpa, Simon Červenka, Sinéad Kelly, Dominik Grotegerd, Matthew D. Sacchet, Ilya M. Veer, Meng Li, Mon-Ju Wu, Benson Irungu, Esther Walton, Paul M. Thompson

    Published 2018
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  13. 13
    Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

    Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification by Ivo M. Baltruschat, Hannes Nickisch, Michael Graß, Tobias Knopp, Axel Saalbach

    Published 2019
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  14. 14
    Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50

    Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50 by Lawrence Fulton, Diane Dolezel, Jordan Harrop, Yan Yan, Christopher Fulton

    Published 2019
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  15. 15
    MR image reconstruction using deep learning: evaluation of network structure and loss functions

    MR image reconstruction using deep learning: evaluation of network structure and loss functions by Vahid Ghodrati, Jiaxin Shao, Mark Bydder, Ziwu Zhou, Wotao Yin, Kim‐Lien Nguyen, Yingli Yang, Peng Hu

    Published 2019
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  16. 16
    Convolutional neural networks for multi-class brain disease detection using MRI images

    Convolutional neural networks for multi-class brain disease detection using MRI images by Muhammed Talo, Özal Yıldırım, Ulaş Baran Baloğlu, Galip Aydın, U. Rajendra Acharya

    Published 2019
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  17. 17
    Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations

    Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations by Joshua Kubach, A. Muehlebner-Farngruber, Figen Söylemezoğlu, Hajime Miyata, Pitt Niehusmann, Mrinalini Honavar, Fábio Rogério, S-H. Kim, Eleonora Aronica, Rita Garbelli, Samuel Vilz, Alexander Popp, Stefan Walcher, Christoph Neuner, Michael Scholz, Stefanie Küerten, Verena Schropp, Sebastian S. Roeder, Philip Eichhorn, Markus Eckstein, Axel Brehmer, Katja Kobow, Roland Coras, Ingmar Bluemcke, Samir Jabari

    Published 2019
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  18. 18
    Automated speech-based screening of depression using deep convolutional neural networks

    Automated speech-based screening of depression using deep convolutional neural networks by Karol Chlasta, Krzysztof Wołk, Izabela Krejtz

    Published 2019
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  19. 19
    A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition

    A Systematic Exploration of Deep Neural Networks for EDA-Based Emotion Recognition by Dian Yu, Shouqian Sun

    Published 2020
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  20. 20
    Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

    Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks by Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi

    Published 2020
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