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Работ: 80
Работа: Deep Learning based Joint Fusion approach to exploit anatomical and functional brain information in Autism Spectrum Disorders
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky +2
Статья2014Цитирований: 10ABITwo new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, Matar, Lespez, Laurent, Tribolo, Chantal +5
Препринт2024Цитирований: 8ABIBatch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Препринт2015Цитирований: 4ABIAdjusting batch effects in microarray expression data using empirical Bayes methods
W. Evan Johnson, Cheng Li, Ariel Rabinovic
Статья2006Цитирований: 4ABIPhilosophical Transactions of the Royal Society B: biological sciences
Porter, John R., Semenov, Mikhail A.
Другое2026Цитирований: 3ABIDefault-mode brain dysfunction in mental disorders: A systematic review
Samantha J. Broyd, Charmaine Demanuele, Stefan Debener +3
Обзорная статья2008Цитирований: 2ABIA Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction
Adam Yala, Constance D. Lehman, Tal Schuster +2
Статья2019Цитирований: 2ABI101 Labeled Brain Images and a Consistent Human Cortical Labeling Protocol
Arno Klein, Jason A. Tourville
Статья2012Цитирований: 2ABINeuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder
Michelle A. Patriquin, Thomas P. DeRamus, Lauren E. Libero +2
Обзорная статья2016Цитирований: 2ABIHarmonization of multi-site diffusion tensor imaging data
Jean‐Philippe Fortin, Drew Parker, Birkan Tunç +10
Статья2017Цитирований: 2ABIFusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi +2
Обзорная статья2020Цитирований: 2ABI