Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks : A Preliminary Study
Jung Hwan Lee, In Ho Han, Dong Hwan Kim, Seunghan Yu, In Sook Lee, You Seon Song, Seongsu Joo, Cheng-Bin Jin, Hakil Kim
J Korean Neurosurg Soc. 2020;63(3):386-396.   Published online 2020 Jan 14     DOI: https://doi.org/10.3340/jkns.2019.0084
Citations to this article as recorded by Crossref logo
CT-based generation of synthetic-pseudo MR images with different weightings for human knee
Ihssan S. Masad, Isam F. Abu-Qasmieh, Hiam H. Al-Quran, Khaled Z. Alawneh, Khalid M. Abdalla, Ali M. Al-Qudah
Computers in Biology and Medicine.2024; 169: 107842.     CrossRef
Advances in Imaging (Intraop Cone-Beam Computed Tomography, Synthetic Computed Tomography, Bone Scan, Low-Dose Protocols)
Pawel P. Jankowski, Justin P. Chan
Neurosurgery Clinics of North America.2024; 35(2): 161.     CrossRef
Generative adversarial networks for spine imaging: A critical review of current applications
Konstantinos Vrettos, Emmanouil Koltsakis, Aristeidis H. Zibis, Apostolos H. Karantanas, Michail E. Klontzas
European Journal of Radiology.2024; 171: 111313.     CrossRef
Generation of synthetic PET/MR fusion images from MR images using a combination of generative adversarial networks and conditional denoising diffusion probabilistic models based on simultaneous 18F-FDG PET/MR image data of pyogenic spondylodiscitis
Euijin Jung, Eunjung Kong, Dongwoo Yu, Heesung Yang, Philip Chicontwe, Sang Hyun Park, Ikchan Jeon
The Spine Journal.2024;[Epub]     CrossRef
Artificial intelligence in spine surgery
Ahmed Benzakour, Pavlos Altsitzioglou, Jean Michel Lemée, Alaaeldin Ahmad, Andreas F. Mavrogenis, Thami Benzakour
International Orthopaedics.2023; 47(2): 457.     CrossRef
Synthetic Contrasts in Musculoskeletal MRI
Tom Hilbert, Patrick Omoumi, Marcus Raudner, Tobias Kober
Investigative Radiology.2023; 58(1): 111.     CrossRef
Emerging Technology in Musculoskeletal MRI and CT
Richard Kijowski, Jan Fritz
Radiology.2023; 306(1): 6.     CrossRef
An attentive-based generative model for medical image synthesis
Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
International Journal of Machine Learning and Cybernetics.2023; 14(11): 3897.     CrossRef
Prostate segmentation accuracy using synthetic MRI for high-dose-rate prostate brachytherapy treatment planning
Hyejoo Kang, Alexander R Podgorsak, Bhanu Prasad Venkatesulu, Anjali L Saripalli, Brian Chou, Abhishek A Solanki, Matthew Harkenrider, Steven Shea, John C Roeske, Mohammed Abuhamad
Physics in Medicine & Biology.2023; 68(15): 155017.     CrossRef
The promise and limitations of artificial intelligence in musculoskeletal imaging
Patrick Debs, Laura M. Fayad
Frontiers in Radiology.2023;[Epub]     CrossRef
Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review
Kuchalambal Agadi, Asimina Dominari, Sameer Saleem Tebha, Asma Mohammadi, Samina Zahid
Journal of Korean Neurosurgical Society.2023; 66(6): 632.     CrossRef
Medical inter-modality volume-to-volume translation
Jinjin Chen, Yongjian Huai, Ji Ma
Journal of King Saud University - Computer and Information Sciences.2023; 35(10): 101821.     CrossRef
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation
Robert Graf, Joachim Schmitt, Sarah Schlaeger, Hendrik Kristian Möller, Vasiliki Sideri-Lampretsa, Anjany Sekuboyina, Sandro Manuel Krieg, Benedikt Wiestler, Bjoern Menze, Daniel Rueckert, Jan Stefan Kirschke
European Radiology Experimental.2023;[Epub]     CrossRef
AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?
YiRang Shin, Sungjun Kim, Young Han Lee
Skeletal Radiology.2022; 51(2): 293.     CrossRef
Utility of machine learning algorithms in degenerative cervical and lumbar spine disease: a systematic review
Mark E. Stephens, Christen M. O’Neal, Alison M. Westrup, Fauziyya Y. Muhammad, Daniel M. McKenzie, Andrew H. Fagg, Zachary A. Smith
Neurosurgical Review.2022; 45(2): 965.     CrossRef
Artificial intelligence and spine imaging: limitations, regulatory issues and future direction
Alexander L. Hornung, Christopher M. Hornung, G. Michael Mallow, J. Nicolas Barajas, Alejandro A. Espinoza Orías, Fabio Galbusera, Hans-Joachim Wilke, Matthew Colman, Frank M. Phillips, Howard S. An, Dino Samartzis
European Spine Journal.2022; 31(8): 2007.     CrossRef
Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art
Paramesh Karandikar, Elie Massaad, Muhamed Hadzipasic, Ali Kiapour, Rushikesh S. Joshi, Ganesh M. Shankar, John H. Shin
Neurosurgery.2022; 90(4): 372.     CrossRef
Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test
Ki-Taek Hong, Yongwon Cho, Chang Ho Kang, Kyung-Sik Ahn, Heegon Lee, Joohui Kim, Suk Joo Hong, Baek Hyun Kim, Euddeum Shim
Diagnostics.2022; 12(2): 530.     CrossRef
Genetic Odyssey to Ossification of the Posterior Longitudinal Ligament in the Cervical Spine: A Systematic Review
Young Il Won, Chang-Hyun Lee, Woon Tak Yuh, Shin Won Kwon, Chi Heon Kim, Chun Kee Chung
Neurospine.2022; 19(2): 299.     CrossRef
Conversational Artificial Intelligence for Spinal Pain Questionnaire: Validation and User Satisfaction
Kyoung Hyup Nam, Da Young Kim, Dong Hwan Kim, Jung Hwan Lee, Jae Il Lee, Mi Jeong Kim, Joo Young Park, Jae Hyun Hwang, Sang Seok Yun, Byung Kwan Choi, Min Gyu Kim, In Ho Han
Neurospine.2022; 19(2): 348.     CrossRef
Convolutional Neural Networks in Spinal Magnetic Resonance Imaging: A Systematic Review
David Baur, Katharina Kroboth, Christoph-Eckhard Heyde, Anna Voelker
World Neurosurgery.2022; 166: 60.     CrossRef
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Zhaohui Liang, Jimmy Xiangji Huang, Sameer Antani
Sensors.2022; 22(24): 9628.     CrossRef
Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report
Natalia Gorelik, Soterios Gyftopoulos
Canadian Association of Radiologists Journal.2021; 72(1): 45.     CrossRef
Validation of a gyroscope-based wearable device for real-time position monitoring of patients in a hospital
Jung Hwan Lee, Jae Il Lee, Dong Hwan Kim, Kyoung Hyup Nam, Tae Jin Jeon, In Ho Han
Technology and Health Care.2021; 29(4): 843.     CrossRef
A review on medical imaging synthesis using deep learning and its clinical applications
Tonghe Wang, Yang Lei, Yabo Fu, Jacob F. Wynne, Walter J. Curran, Tian Liu, Xiaofeng Yang
Journal of Applied Clinical Medical Physics.2021; 22(1): 11.     CrossRef
TilGAN: GAN for Facilitating Tumor-Infiltrating Lymphocyte Pathology Image Synthesis With Improved Image Classification
Monjoy Saha, Xiaoyuan Guo, Ashish Sharma
IEEE Access.2021; 9: 79829.     CrossRef
Synthesizing High-b-Value Diffusion–weighted Imaging of the Prostate Using Generative Adversarial Networks
Lei Hu, Da-wei Zhou, Yun-fei Zha, Liang Li, Huan He, Wen-hao Xu, Li Qian, Yi-kun Zhang, Cai-xia Fu, Hui Hu, Jun-gong Zhao
Radiology: Artificial Intelligence.2021; 3(5): e200237.     CrossRef
Generative adversarial networks in ophthalmology: what are these and how can they be used?
Zhaoran Wang, Gilbert Lim, Wei Yan Ng, Pearse A. Keane, J. Peter Campbell, Gavin Siew Wei Tan, Leopold Schmetterer, Tien Yin Wong, Yong Liu, Daniel Shu Wei Ting
Current Opinion in Ophthalmology.2021; 32(5): 459.     CrossRef
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review
Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Luca Vollero, Gianluca Vadalà, Mario Merone, Rocco Papalia, Vincenzo Denaro
International Journal of Environmental Research and Public Health.2021; 18(20): 10909.     CrossRef
A Review on the Use of Artificial Intelligence in Spinal Diseases
Parisa Azimi, Taravat Yazdanian, Edward C. Benzel, Hossein Nayeb Aghaei, Shirzad Azhari, Sohrab Sadeghi, Ali Montazeri
Asian Spine Journal.2020; 14(4): 543.     CrossRef