Neural Network Methods for Radiation Detectors and Imaging

9 November 2023

Papers citing "Neural Network Methods for Radiation Detectors and Imaging"

9 / 9 papers shown

Title
Photonic Advantage of Optical Encoders Luocheng Huang Quentin A. A. Tanguy Johannes E. Froch Saswata Mukherjee K. Böhringer A. Majumdar 16 9 0 02 May 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 10 4 0 11 Apr 2023
Deep Image Deblurring: A Survey Kaihao Zhang Wenqi Ren Wenhan Luo Wei-Sheng Lai B. Stenger Ming-Hsuan Yang Hongdong Li 80 166 0 26 Jan 2022
Deep Learning-based Face Super-Resolution: A Survey Junjun Jiang Chenyang Wang Xianming Liu Jiayi Ma SupR CVBM 27 102 0 11 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 222 2,404 0 04 Jan 2021
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 41 92 0 04 May 2020
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 56 1,596 0 14 Apr 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015