Risultati della ricerca

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

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

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

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

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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... di Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou

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

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

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

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

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

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

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Deep Learning for Quality Control of Subcortical Brain 3D Shape Models di 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

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

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

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

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

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Same same but different: a web-based deep learning application for the histopathologic distinction of cortical malformations di 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

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

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

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

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