Alan B. McMillan

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ Adversarial Machine Learning at Scale 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
1
+ PDF Chat Practical Black-Box Attacks against Machine Learning 2017 Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
Somesh Jha
Z. Berkay Celik
Ananthram Swami
1
+ Towards Deep Learning Models Resistant to Adversarial Attacks 2017 Aleksander Mądry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
1
+ MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples 2017 Nicholas Carlini
David Wagner
1
+ A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations 2017 Logan Engstrom
Brandon Tran
Dimitris Tsipras
Ludwig Schmidt
Aleksander Mądry
1
+ PDF Chat Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images 2018 Kuang Gong
Jaewon Yang
Kyungsang Kim
Georges El Fakhri
Youngho Seo
Quanzheng Li
1
+ Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey 2018 Naveed Akhtar
Ajmal Mian
1
+ PDF Chat Generative adversarial network in medical imaging: A review 2019 Yi Xin
Ekta Walia
Paul Babyn
1
+ Provable limitations of deep learning. 2018 Emmanuel Abbé
Colin Sandon
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 ÖzgĂŒn Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
1
+ PDF Chat The future of digital health with federated learning 2020 Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto MilletarĂŹ
Holger R. Roth
Shadi Albarqouni
Spyridon Bakas
Mathieu Galtier
Bennett A. Landman
Klaus H. Maier‐Hein
1
+ PDF Chat Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain <sup>18</sup>F-FDG PET 2019 Jaewon Yang
Dookun Park
G.T. Gullberg
Youngho Seo
1
+ PDF Chat Deep learning based synthetic‐CT generation in radiotherapy and PET: A review 2021 Maria Francesca Spadea
Matteo Maspero
Paolo Zaffino
Joao Seco
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ Stochastic gradient descent 2018 Andrew Murphy
David Wang
1