DeepPET: A deep encoder-decoder network for directly solving the PET
reconstruction inverse problem

DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem

20 April 2018

Gabriele Campanella

Thomas J. Fuchs

Papers citing "DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem"

17 / 17 papers shown

Title
A Novel Implicit Neural Representation for Volume Data Armin Sheibanifard Hongchuan Yu 37 5 0 13 Mar 2024
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction Zeyu Han Yuhan Wang Luping Zhou Peng Wang Binyu Yan Jiliu Zhou Yan Wang Dinggang Shen DiffM 19 22 0 20 Aug 2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks Kyle L. Luther Sebastian Seung 21 0 0 16 Jun 2023
STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction Rui Hu Jianan Cui Chengjin Yu Yunmei Chen Huafeng Liu 3DPC 19 2 0 08 Mar 2023
Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm F. Hashimoto Yuya Onishi K. Ote H. Tashima T. Yamaya MedIm 25 13 0 22 Dec 2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling Ruiyuan Kang D. Kyritsis P. Liatsis AI4CE PINN 16 5 0 12 Oct 2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising Se-In Jang T. Pan Ye Li P. Heidari Junyu Chen Quanzheng Li Kuang Gong ViT MedIm 36 27 0 07 Sep 2022
List-Mode PET Image Reconstruction Using Deep Image Prior K. Ote F. Hashimoto Yuya Onishi Takashi Isobe Yasuomi Ouchi MedIm 30 19 0 28 Apr 2022
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction Siqi Li Kuang Gong R. Badawi Edward J. Kim J. Qi Guobao Wang 30 13 0 05 Jan 2022
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 21 3 0 07 Nov 2021
Unsupervised PET Reconstruction from a Bayesian Perspective Chenyu Shen Wenjun Xia H. Ye Mingzheng Hou Hu Chen Yan Liu Jiliu Zhou Yi Zhang 36 3 0 29 Oct 2021
A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography L. Koutsantonis Tiago Carneiro Emmanuel Kieffer Frédéric Pinel Pascal Bouvry 21 0 0 19 Oct 2021
Deep Kernel Representation for Image Reconstruction in PET Siqi Li Guobao Wang 27 19 0 04 Oct 2021
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance Yuya Onishi F. Hashimoto K. Ote H. Ohba R. Ota E. Yoshikawa Yasuomi Ouchi MedIm 23 30 0 02 Sep 2021
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution M. Jiang Min Zhi Liying Wei Xiaocheng Yang Jucheng Zhang Yongming Li Pin Wang Jiahao Huang Guang Yang MedIm 30 83 0 09 Aug 2021
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding Nuobei Xie Kuang Gong Ning Guo ZhiXing Qin Zhifang Wu Huafeng Liu Quanzheng Li 3DV 3DPC MedIm 27 20 0 16 Dec 2019
DirectPET: Full Size Neural Network PET Reconstruction from Sinogram Data W. Whiteley W. K. Luk J. Gregor 3DV AI4TS 29 54 0 19 Aug 2019