Sökresultat - "Image Processing, Computer-Assisted"

Evaluating the precision and reproducibility of cephalometric landmarks in locally reconstructed lateral cephalometric radiographs from cone beam computed tomography (CBCT).

Cai C; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China., Li H; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.; Medical School of Chinese PLA, Beijing, 100853, China., Zhang H; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China., Huo N; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China., Wang J; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China., Li T; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China., Xu N; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.; Medical School of Chinese PLA, Beijing, 100853, China., Zhang T; Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China. kqzhengji301@163.com.

Journal Article; Comparative Study , 2025

Selecting A Digitization Device for Bone Marrow Aspirate Smears.

Kock F; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany. Electronic address: farina.kock@mevis.fraunhofer.de., Pontones M; Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany. Electronic address: martina.pontones@uk-erlangen.de., Ghete T; Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany; Bavarian Cancer Research Center (BZKF), Erlangen, Germany., Metzler M; Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany; Bavarian Cancer Research Center (BZKF), Erlangen, Germany., Höfener H; Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.

Journal Article , 2025

Multi-Metric Approach for the Comparison of Denoising Techniques for Resting-State fMRI.

Goffi F; Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy., Bianchi AM; Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy., Schiena G; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy., Brambilla P; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy., Maggioni E; Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy.; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Journal Article; Comparative Study , 2025

A comparative analysis of soft tissue volumetric alterations utilizing root mean square and positive and negative average calculations through two software.

Figueras-Alvarez O; Department of Restorative Dentistry, School of Dentistry, International University of Catalunya, Barcelona, Spain. Electronic address: ofigueras@uic.es., Blanco-Antona L; Department of Surgery. Faculty of Medicine, Dental clinic. University of Salamanca. Campus Miguel de Unamuno. PC, 37007. Spain. Electronic address: lblanco@usal.es., Quispe-López N; Department of Surgery. Faculty of Medicine, Dental clinic. University of Salamanca. Campus Miguel de Unamuno. PC, 37007. Spain. Electronic address: norberto_quispe@usal.es., Pamies-Jordana B; Department of Restorative Dentistry, School of Dentistry, International University of Catalunya, Barcelona, Spain. Electronic address: babipam@uic.es., Espona-Roig J; Department of Restorative Dentistry, School of Dentistry, International University of Catalunya, Barcelona, Spain. Electronic address: joseespona@uic.es., Montero J; Department of Surgery. Faculty of Medicine, Dental clinic. University of Salamanca. Campus Miguel de Unamuno. PC, 37007. Spain. Electronic address: javimont@usal.es.

Journal Article; Comparative Study , 2025

Sensitivity of Quantitative Susceptibility Mapping for Clinical Research in Deep Gray Matter.

Salman F; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York, USA., Ramesh A; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Jochmann T; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany., Prayer M; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Adegbemigun A; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Reeves JA; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Wilding GE; Department of Biostatistics, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York, USA., Cho J; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York, USA., Jakimovski D; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Bergsland N; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA., Dwyer MG; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA., Zivadinov R; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA., Schweser F; Buffalo Neuroimaging Analysis Center, Department of Neurology at the Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA.

Journal Article , 2025

Grouped multi-scale vision transformer for medical image segmentation.

Ji Z; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China., Chen Z; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. 1184189170@njust.edu.cn., Ma X; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.

Journal Article , 2025

Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning.

Min Y; Institute for Medical Imaging Technology, Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.889, Shuang Ding Road, Shanghai, 201801, China.; Institute of Medical Imaging Engineering, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.334, Jun Gong Road, Shanghai, 200093, China., Li J; Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No.600, Yi Shan Road, Shanghai, 200233, China., Jia S; Department of Imaging, Jinan People's Hospital affiliated to Shandong First Medical University, Shandong, 271100, China., Li Y; Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No.600, Yi Shan Road, Shanghai, 200233, China., Nie S; Institute of Medical Imaging Engineering, School of Health Science and Engineering, University of Shanghai for Science and Technology, No.334, Jun Gong Road, Shanghai, 200093, China. nsd4647@163.com.

Journal Article , 2025

Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.

Schauman SS; Department of Radiology, Stanford University, Stanford, CA, USA. sophie.schauman.academic@gmail.com.; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, 17177, Sweden. sophie.schauman.academic@gmail.com., Iyer SS; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Sandino CM; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Yurt M; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Cao X; Department of Radiology, Stanford University, Stanford, CA, USA., Liao C; Department of Radiology, Stanford University, Stanford, CA, USA., Ruengchaijatuporn N; Center of Excellence in Computational Molecular Biology, Chulalongkorn University, Bangkok, Thailand.; Center for Artificial Intelligence in Medicine, Chulalongkorn University, Bangkok, Thailand., Chatnuntawech I; National Nanotechnology Center, National Science and Technology Development Agency, Pathum Thani, Thailand., Tong E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Setsompop K; Department of Radiology, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.

Journal Article , 2025

Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.

Sghirripa S; Australian Institute for Machine Learning, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.; Hopwood Centre of Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia., Bhalerao G; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., Griffanti L; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., Gillis G; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., Mackay C; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK., Voets N; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Wong S; College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia., Jenkinson M; Australian Institute for Machine Learning, School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.; Hopwood Centre of Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.; Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

Alzheimer's Disease Neuroimaging Initiative

Journal Article , 2025

Optimised Hybrid Attention-Based Capsule Network Integrated Three-Pathway Network for Chronic Disease Detection in Retinal Images.

Mohamed Yaseen M; KCG College of Technology, Chennai, Tamil Nadu, India., Vijayan TB; KCG College of Technology, Chennai, Tamil Nadu, India.

Journal Article , 2025

Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

Hassan M; Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada; Mechanical Design & Production Department, Faculty of Engineering, Cairo University, Cairo University Rd, Oula, Giza District, Cairo, 12613, Egypt. Electronic address: mkhassan@ualberta.ca., Gonzalez Ruiz JM; Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada., Mohamed N; Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada., Burke TN; Allied Health Institute, Federal University of Mato Grosso do Sul, Cidade Universitária, Av. Costa e Silva, Campo Grande, 79070-900, MS, Brazil., Mei Q; Department of Civil and Environmental Engineering, University of Alberta, 7th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada., Westover L; Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada; Department of Biomedical Engineering, University of Alberta, 13th Floor, Donadeo Innovation Centre for Engineering, Edmonton, T6G 1H9, AB, Canada.

Journal Article , 2025

Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data.

González-Cebrián Á; Computer Science and Engineering Department, Universidad Carlos III de Madrid, Madrid, Spain. Electronic address: angegonz@pa.uc3m.es., Bordonaba S; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain. Electronic address: sara.bordonaba.imas12@h12o.es., Pascau J; Bioengineering Department, Universidad Carlos III de Madrid, Madrid, Spain. Electronic address: jpascau@ing.uc3m.es., Paredes I; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain; NeuroSurgery Department, Hospital Universitario 12 de Octubre, Madrid, Spain. Electronic address: igorparedes@gmail.com., Lagares A; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; Department of Surgery, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain; NeuroSurgery Department, Hospital Universitario 12 de Octubre, Madrid, Spain. Electronic address: alfonsolagares@pdi.ucm.es., de Toledo P; Computer Science and Engineering Department, Universidad Carlos III de Madrid, Madrid, Spain. Electronic address: mtoledo@inf.uc3m.es.

Journal Article , 2025

CTCNet: a fine-grained classification network for fluorescence images of circulating tumor cells.

Wu J; School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, 230601, Anhui, China.; Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, Anhui, China., Wang H; Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, Anhui, China., Nie Y; Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, Anhui, China. nie@iim.cas.cn., Wang Y; Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, Anhui, China., He W; Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, 230031, Anhui, China., Wang G; Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, 230031, Anhui, China., Li Z; School of Pharmacy, Anhui Medical University, Hefei, 230032, Anhui, China., Chen J; Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, 230031, Anhui, China., Xu W; Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, 230031, Anhui, China.

Journal Article , 2025

An Optimized Framework of QSM Mask Generation Using Deep Learning: QSMmask-Net.

Lee G; Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea., Jung W; AIRS Medical, Seoul, Republic of Korea., Sakaie KE; Department of Diagnostic Radiology, Diagnostics Institute, The Cleveland Clinic, Cleveland, Ohio, USA., Oh SH; Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.; Department of Diagnostic Radiology, Diagnostics Institute, The Cleveland Clinic, Cleveland, Ohio, USA.

Journal Article , 2025

Lag-Net: Lag correction for cone-beam CT via a convolutional neural network.

Ren C; Laboratory of Image science and Technology, School of computer science and Engneering, Southeast University, Nanjing, 210096, China. Electronic address: 220232340@seu.edu.cn., Kan S; Laboratory of Image science and Technology, School of computer science and Engneering, Southeast University, Nanjing, 210096, China., Huang W; Laboratory of Image science and Technology, School of computer science and Engneering, Southeast University, Nanjing, 210096, China., Xi Y; Jiangsu First-Imaging Medical Equipment Co., Ltd., Jiangsu, 226100, China., Ji X; Laboratory of Image science and Technology, School of computer science and Engneering, Southeast University, Nanjing, 210096, China; Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, 210096, China; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Nanjing, 210096, China. Electronic address: xuji@seu.edu.cn., Chen Y; Laboratory of Image science and Technology, School of computer science and Engneering, Southeast University, Nanjing, 210096, China; Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Southeast University, Nanjing, 210096, China; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University, Nanjing, 210096, China.

Journal Article , 2025

Breaking through scattering: The H-Net CNN model for image retrieval.

Chiu-Coutino R; Departamento de ciencias exactas y tecnología. Centro universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Lagos de Moreno, 47463, Jalisco, Mexico; Universidad LaSalle bajio, Av. Universidad 602 Col. Lomas del Campestre, León de los Aldama, 37150, Guanajuato, Mexico. Electronic address: roger.chiu2544@alumnos.udg.mx., Soriano-Garcia MS; Center of Research in Mathematics. CIMAT AC, Lasec y Andador Galileo Galilei, Zacatecas, 98160, Zacatecas, Mexico., Medel-Ruiz CI; Departamento de ciencias exactas y tecnología. Centro universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Lagos de Moreno, 47463, Jalisco, Mexico., Afanador-Delgado SM; Departamento de ciencias exactas y tecnología. Centro universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Lagos de Moreno, 47463, Jalisco, Mexico., Villafaña-Rauda E; Departamento de ciencias exactas y tecnología. Centro universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Lagos de Moreno, 47463, Jalisco, Mexico., Chiu R; Departamento de ciencias exactas y tecnología. Centro universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Lagos de Moreno, 47463, Jalisco, Mexico.

Journal Article , 2025

PathoCoder: Rethinking the Flaws of Patch-Based Learning for Multi-Class Classification in Computational Pathology.

Idlahcen F; Faculty of Medical Sciences, Mohammed VI Polytechnic University, Ben Guerir, Morocco., Mboukou PFC; Faculty of Medical Sciences, Mohammed VI Polytechnic University, Ben Guerir, Morocco., Idri A; Faculty of Medical Sciences, Mohammed VI Polytechnic University, Ben Guerir, Morocco.; ENSIAS, Mohammed V University, Rabat, Morocco., El Attar H; Faculty of Medical Sciences, Mohammed VI Polytechnic University, Ben Guerir, Morocco.; Annasr Pathology Center, El Jadida, Morocco.; DataPathology, Casablanca, Morocco.

Journal Article , 2025

Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising.

Pan X; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China., Song S; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China., Liu Z; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China., Wang H; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China., Li L; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China., Lu H; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China; Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangzhou, 510080, Guangdong, China. Electronic address: hxlu1005@163.com., Lan R; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China; International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China. Electronic address: rslan2016@163.com., Luo X; Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China; International Joint Research Laboratory of Spatio-temporal Information and Intelligent Location Services, Guilin University of Electronic Technology, Guilin, 541004, Guangxi, China.

Journal Article , 2025

Verifying the accuracy and precision of foot bone segmentation from fan beam and cone beam computed tomography scans.

Thorhauer ED; Center for Limb Loss and MoBility (CLiMB), Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA. Electronic address: ericthor@uw.edu., Wukelic C; Center for Limb Loss and MoBility (CLiMB), Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA., Entress N; Center for Limb Loss and MoBility (CLiMB), Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA., Shofer JB; Center for Limb Loss and MoBility (CLiMB), Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA., Ledoux WR; Center for Limb Loss and MoBility (CLiMB), Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA; Department of Orthopaedics & Sports Medicine, University of Washington, Seattle, WA, USA.

Journal Article , 2025

FedSynthCT-Brain: A federated learning framework for multi-institutional brain MRI-to-CT synthesis.

Raggio CB; Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Fritz-Haber-Weg 1, Karlsruhe, 76131, Baden-Württemberg, Germany. Electronic address: ciro.raggio@kit.edu., Zabaleta MK; Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Fritz-Haber-Weg 1, Karlsruhe, 76131, Baden-Württemberg, Germany., Skupien N; Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Fritz-Haber-Weg 1, Karlsruhe, 76131, Baden-Württemberg, Germany., Blanck O; Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Feldstrasse 21, Kiel, 24105, Schleswig-Holstein, Germany., Cicone F; Department of Experimental and Clinical Medicine, Magna Graecia University, Viale Europa, Catanzaro, 88100, Calabria, Italy., Cascini GL; Department of Experimental and Clinical Medicine, Magna Graecia University, Viale Europa, Catanzaro, 88100, Calabria, Italy., Zaffino P; Department of Experimental and Clinical Medicine, Magna Graecia University, Viale Europa, Catanzaro, 88100, Calabria, Italy., Migliorelli L; Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, Ancona, 60131, Marche, Italy., Spadea MF; Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Fritz-Haber-Weg 1, Karlsruhe, 76131, Baden-Württemberg, Germany.

Journal Article; Multicenter Study , 2025