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Tytuł:
Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy.
Autorzy:
Sun H; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Yang Z; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Zhu J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Li J; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Gong J; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Chen L; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Wang Z; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Yin Y; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Ren G; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China. Electronic address: .
Cai J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China. Electronic address: .
Zhao L; Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. Electronic address: .
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Źródło:
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2024 Mar; Vol. 245, pp. 108007. Date of Electronic Publication: 2024 Jan 05.
Typ publikacji:
Journal Article
MeSH Terms:
Spiral Cone-Beam Computed Tomography*
Radiotherapy, Image-Guided*/methods
Esophageal Neoplasms*/diagnostic imaging
Esophageal Neoplasms*/radiotherapy
Neuroectodermal Tumors, Primitive*
Humans ; Radiotherapy Planning, Computer-Assisted/methods ; Cone-Beam Computed Tomography/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism.
Autorzy:
Zhang D; Dalian Maritime University, College of Information Science and Technology, Dalian, 116026, China. Electronic address: .
Wu C; Dalian Maritime University, College of Information Science and Technology, Dalian, 116026, China. Electronic address: .
Zhou J; Dalian Maritime University, College of Information Science and Technology, Dalian, 116026, China. Electronic address: .
Zhang W; Dalian Maritime University, College of Information Science and Technology, Dalian, 116026, China. Electronic address: .
Lin Z; Department of Electrical and Electronic Engineering, University of Western Australia, Perth, WA6009, Australia. Electronic address: .
Polat K; Faculty of Engineering, Department of Electrical and Electronics Engineering, Bolu Abant Izzet Baysal University, Bolu, Turkey. Electronic address: .
Alenezi F; Department of Electrical Engineering, Faculty of Engineering, Jouf University, Sakakah, 72388, Saudi Arabia. Electronic address: .
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Jan; Vol. 169, pp. 685-697. Date of Electronic Publication: 2023 Nov 10.
Typ publikacji:
Journal Article
MeSH Terms:
Generalization, Psychological*
Image Enhancement*
Neural Networks, Computer ; Semantics ; Image Processing, Computer-Assisted
Czasopismo naukowe
Tytuł:
Technical note: Minimizing CIED artifacts on a 0.35 T MRI-Linac using deep learning.
Autorzy:
Curcuru AN; Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Yang D; Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.
An H; Departments of Radiology, Biomedical Engineering and Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Cuculich PS; Departments of Cardiovascular Medicine and Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Robinson CG; Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA.
Gach HM; Departments of Radiation Oncology, Radiology and Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
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Źródło:
Journal of applied clinical medical physics [J Appl Clin Med Phys] 2024 Mar; Vol. 25 (3), pp. e14304. Date of Electronic Publication: 2024 Feb 18.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Defibrillators, Implantable*
Radiotherapy, Image-Guided*
Humans ; Artifacts ; Magnetic Resonance Imaging/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
MTIE-Net: Multi-technology fusion of low-light image enhancement network.
Autorzy:
Tao J; Automation and Information School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan Province, China.; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan Province, China.
Wu H; Automation and Information School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan Province, China.; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan Province, China.
Ni Z; Automation and Information School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan Province, China.; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan Province, China.
Jin Z; Automation and Information School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan Province, China.; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan Province, China.
Zhong C; Automation and Information School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan Province, China.; Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan Province, China.
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Źródło:
PloS one [PLoS One] 2024 Feb 02; Vol. 19 (2), pp. e0297984. Date of Electronic Publication: 2024 Feb 02 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Image Enhancement*
Refractive Surgical Procedures*
Lighting ; Technology ; Image Processing, Computer-Assisted
Czasopismo naukowe
Tytuł:
Dynamic Computed Tomography Angiography for capturing vessel wall motion: A phantom study for optimal image reconstruction.
Autorzy:
Stam LB; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Linden SML; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.; Technical Medical Center, University of Twente, Enschede, The Netherlands.
Oostveen LJ; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Hansen HHG; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Aquarius R; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Slump CH; Technical Medical Center, University of Twente, Enschede, The Netherlands.
de Korte CL; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Bartels RHMA; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Prokop M; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
Boogaarts HD; Department of Neurosurgery, Radboudumc, Nijmegen, The Netherlands.
Meijer FJA; Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands.
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Źródło:
PloS one [PLoS One] 2023 Dec 22; Vol. 18 (12), pp. e0293353. Date of Electronic Publication: 2023 Dec 22 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Computed Tomography Angiography*/methods
Radiographic Image Interpretation, Computer-Assisted*/methods
Tomography, X-Ray Computed/methods ; Angiography/methods ; Algorithms ; Image Processing, Computer-Assisted ; Radiation Dosage
Czasopismo naukowe
Tytuł:
A quantitative CBCT pipeline based on 2D antiscatter grid and grid-based scatter sampling for image-guided radiation therapy.
Autorzy:
Bayat F; Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Ruan D; Department of Radiation Oncology, University of California Los Angeles, Los Angeles, California, USA.
Miften M; Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Altunbas C; Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado, USA.
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Źródło:
Medical physics [Med Phys] 2023 Dec; Vol. 50 (12), pp. 7980-7995. Date of Electronic Publication: 2023 Sep 04.
Typ publikacji:
Journal Article
MeSH Terms:
Radiotherapy, Image-Guided*
Spiral Cone-Beam Computed Tomography*
Cone-Beam Computed Tomography/methods ; Phantoms, Imaging ; Scattering, Radiation ; Image Processing, Computer-Assisted/methods ; Artifacts ; Algorithms
Czasopismo naukowe
Tytuł:
Technical note: Intensity-based quality assurance criteria for deformable image registration in image-guided radiotherapy.
Autorzy:
Bosma LS; Department of Radiotherapy, UMC Utrecht, Utrecht, The Netherlands.
Zachiu C; Department of Radiotherapy, UMC Utrecht, Utrecht, The Netherlands.
Denis de Senneville B; Department of Radiotherapy, UMC Utrecht, Utrecht, The Netherlands.; Institut de Mathématiques de Bordeaux (IMB), University of Bordeaux, Talence, France.
Raaymakers BW; Department of Radiotherapy, UMC Utrecht, Utrecht, The Netherlands.
Ries M; Imaging Division, UMC Utrecht, Utrecht, The Netherlands.
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Źródło:
Medical physics [Med Phys] 2023 Sep; Vol. 50 (9), pp. 5715-5722. Date of Electronic Publication: 2023 Mar 25.
Typ publikacji:
Journal Article
MeSH Terms:
Radiotherapy, Image-Guided*/methods
Humans ; Algorithms ; Imaging, Three-Dimensional ; Radiotherapy Planning, Computer-Assisted/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
Automatic landmark detection and registration of brain cortical surfaces via quasi-conformal geometry and convolutional neural networks.
Autorzy:
Guo Y; Department of Mathematics, The Chinese University of Hong Kong, Hong Kong.
Chen Q; Department of Mathematics, The Chinese University of Hong Kong, Hong Kong.
Choi GPT; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Lui LM; Department of Mathematics, The Chinese University of Hong Kong, Hong Kong. Electronic address: .
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Źródło:
Computers in biology and medicine [Comput Biol Med] 2023 Sep; Vol. 163, pp. 107185. Date of Electronic Publication: 2023 Jun 17.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Image Enhancement*/methods
Image Interpretation, Computer-Assisted/methods ; Pattern Recognition, Automated/methods ; Imaging, Three-Dimensional/methods ; Sensitivity and Specificity ; Reproducibility of Results ; Neural Networks, Computer ; Brain/diagnostic imaging
Czasopismo naukowe
Tytuł:
Distortion-corrected image reconstruction with deep learning on an MRI-Linac.
Autorzy:
Shan S; ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, Jiangsu, China.; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.
Gao Y; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.; School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
Liu PZY; ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia.
Whelan B; ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia.
Sun H; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.
Dong B; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia.
Liu F; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia.
Waddington DEJ; ACRF Image X Institute, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.; Department of Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia.
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Źródło:
Magnetic resonance in medicine [Magn Reson Med] 2023 Sep; Vol. 90 (3), pp. 963-977. Date of Electronic Publication: 2023 May 01.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Radiotherapy, Image-Guided*
Deep Learning*
Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging ; Lung/pathology ; Humans
Czasopismo naukowe
Tytuł:
Simultaneous multislice imaging with slice-specific z-shim.
Autorzy:
Finsterbusch J; Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Chu Y; Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Źródło:
Magnetic resonance in medicine [Magn Reson Med] 2023 Aug; Vol. 90 (2), pp. 633-642. Date of Electronic Publication: 2023 Apr 24.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Magnetic Resonance Imaging*/methods
Humans ; Image Enhancement/methods ; Phantoms, Imaging ; Brain/diagnostic imaging ; Echo-Planar Imaging/methods
Czasopismo naukowe
Tytuł:
State-of-the-art magnetic resonance imaging sequences for pediatric body imaging.
Autorzy:
Kraus MS; Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada.; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Coblentz AC; Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada.; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Deshpande VS; Siemens Healthineers, Austin, TX, USA.
Peeters JM; Philips Healthcare, Best, The Netherlands.
Itriago-Leon PM; Siemens Healthineers, Houston, TX, USA.
Chavhan GB; Department of Diagnostic Imaging, The Hospital for Sick Children, 555 University Ave., Toronto, ON, M5G 1X8, Canada. .; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada. .
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Źródło:
Pediatric radiology [Pediatr Radiol] 2023 Jun; Vol. 53 (7), pp. 1285-1299. Date of Electronic Publication: 2022 Oct 18.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Contrast Media*
Humans ; Child ; Image Interpretation, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods ; Respiration ; Artifacts ; Imaging, Three-Dimensional ; Image Enhancement/methods
Czasopismo naukowe
Tytuł:
Deep polyp image enhancement using region of interest with paired supervision.
Autorzy:
Huang D; Shanghai Film Academy, Shanghai University, Shanghai, 200072, China.
Liu J; Shanghai Film Academy, Shanghai University, Shanghai, 200072, China. Electronic address: jinhua_.
Shi Y; Shanghai Film Academy, Shanghai University, Shanghai, 200072, China.
Li C; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China.
Tang W; Department of Creative Technology, University of Bournemouth, Poole, BH12 5BB, United Kingdom.
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Źródło:
Computers in biology and medicine [Comput Biol Med] 2023 Jun; Vol. 160, pp. 106961. Date of Electronic Publication: 2023 Apr 24.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Image Enhancement*
Humans ; Image Processing, Computer-Assisted
Czasopismo naukowe
Tytuł:
Image feature index: A novel metric for quantifying chest radiographic image quality.
Autorzy:
Liang Z; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Tang J; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Xu P; Radiology Department, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.
Zeng W; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zhang J; Radiology Department, Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.
Zhang Y; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zeng L; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Wang H; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Xia C; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Li Z; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Pokaż więcej
Źródło:
Medical physics [Med Phys] 2023 May; Vol. 50 (5), pp. 2805-2815. Date of Electronic Publication: 2023 Jan 13.
Typ publikacji:
Journal Article
MeSH Terms:
Radiographic Image Enhancement*/methods
Tomography, X-Ray Computed*/methods
Retrospective Studies ; Radiography ; Algorithms ; Radiographic Image Interpretation, Computer-Assisted/methods ; Phantoms, Imaging ; Radiation Dosage ; Radiography, Thoracic/methods
Czasopismo naukowe
Tytuł:
An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network.
Autorzy:
Jiang X; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Yu H; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.; Ningbo Institute of Oceanography, Ningbo 315832, China.
Zhang Y; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Pan M; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Li Z; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Liu J; Ocean Technology and Equipment Research Center, Hangzhou Dianzi University, Hangzhou 310018, China.
Lv S; College of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.
Pokaż więcej
Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 21; Vol. 23 (13). Date of Electronic Publication: 2023 Jun 21.
Typ publikacji:
Journal Article
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Neural Networks, Computer*
Image Enhancement ; Tomography, X-Ray Computed ; Motion
Czasopismo naukowe
Tytuł:
Restoration and enhancement on low exposure raw images by joint demosaicing and denoising.
Autorzy:
Ma J; Institute of Artificial Intelligence and School of Computer Science, Wuhan University, Wuhan, 430072, PR China.
Wang G; Horizon Robotics, Beijing, 100089, PR China.
Zhang L; Institute of Artificial Intelligence and School of Computer Science, Wuhan University, Wuhan, 430072, PR China; Hubei Luojia Laboratory, Wuhan 430072, PR China. Electronic address: .
Zhang Q; Horizon Robotics, Beijing, 100089, PR China.
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2023 May; Vol. 162, pp. 557-570. Date of Electronic Publication: 2023 Mar 15.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Image Enhancement*/methods
Image Interpretation, Computer-Assisted/methods ; Signal-To-Noise Ratio
Czasopismo naukowe
Tytuł:
Brain image quality according to beam collimation width and image reconstruction algorithm: A phantom study.
Autorzy:
Greffier J; Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France. Electronic address: .
Viry A; Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Rue du Grand-Pré 1, 1007 Lausanne, Switzerland.
Durand Q; Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France.
Hajdu SD; Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
Frandon J; Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France.
Beregi JP; Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France.
Dabli D; Department of Medical Imaging, CHU Nîmes, Univ Montpellier, Nîmes Medical Imaging Group, EA 2992, France.
Racine D; Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Rue du Grand-Pré 1, 1007 Lausanne, Switzerland.
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Źródło:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2023 Apr; Vol. 108, pp. 102558. Date of Electronic Publication: 2023 Mar 09.
Typ publikacji:
Journal Article
MeSH Terms:
Tomography, X-Ray Computed*/methods
Image Processing, Computer-Assisted*
Algorithms ; Phantoms, Imaging ; Brain ; Radiation Dosage ; Radiographic Image Interpretation, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
An Efficient Strategy to Reduce Patient X-Ray Exposure During Upper and Lower Extremity Revascularization Procedures: Removal of Antiscatter Grid.
Autorzy:
Manzo L; ASL City of Turin, St. G. Bosco Hospital, Turin, Italy. .
Di Maggio L; ASL City of Turin, St. G. Bosco Hospital, Turin, Italy.
Castellano D; ASL City of Turin, St. G. Bosco Hospital, Turin, Italy.
Savio D; ASL City of Turin, St. G. Bosco Hospital, Turin, Italy.
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Źródło:
Cardiovascular and interventional radiology [Cardiovasc Intervent Radiol] 2023 Jun; Vol. 46 (6), pp. 815-818. Date of Electronic Publication: 2023 Mar 16.
Typ publikacji:
Letter
MeSH Terms:
Radiographic Image Interpretation, Computer-Assisted*
Vascular Surgical Procedures*
Humans ; X-Rays ; Radiography ; Electrodes ; Scattering, Radiation ; Phantoms, Imaging ; Radiographic Image Enhancement ; Radiation Dosage
Opinia redakcyjna
Tytuł:
Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT.
Autorzy:
Ryu K; Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, South Korea.
Lee C; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea.
Han Y; College of Information Technology, Department of Electronic Engineering, IT Convergence Major, Soongsil University, Seoul, Korea.; Department of Radiology, Harvard Medical School, Boston, MA, United States of America.
Pang S; Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Kim YH; Department of R&D Performance Evaluation, Korea Health Industry Development Institute (KHIDI), Cheongju, South Korea.
Choi C; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Jang I; Division of Computer Engineering, Hankuk University of Foreign Studies, Yongin, South Korea.; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
Han SS; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, South Korea.
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Źródło:
PloS one [PLoS One] 2023 May 11; Vol. 18 (5), pp. e0285608. Date of Electronic Publication: 2023 May 11 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Imaging, Three-Dimensional*/methods
Image Enhancement*
Humans ; Retrospective Studies ; Phantoms, Imaging ; Cone-Beam Computed Tomography/methods ; Artifacts ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł:
Retinal image enhancement based on color dominance of image.
Autorzy:
C P; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, 600127, India.
R JK; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, 600127, India. dr_.
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Źródło:
Scientific reports [Sci Rep] 2023 May 03; Vol. 13 (1), pp. 7172. Date of Electronic Publication: 2023 May 03.
Typ publikacji:
Journal Article
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Retinal Diseases*/diagnosis
Humans ; Retina/diagnostic imaging ; Image Enhancement/methods ; Fundus Oculi ; Algorithms
Czasopismo naukowe
Tytuł:
Rapid anatomical imaging of the neonatal brain using T 2 -prepared 3D balanced steady-state free precession.
Autorzy:
Park J; Department of Cardiology, Yonsei University, Seoul, Republic of Korea.
Jang M; Department of Radiology, Weill Cornell Medicine, New York, New York.; Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Heier L; Department of Radiology, Weill Cornell Medicine, New York, New York.
Limperopoulos C; Developing Brain Institute, Division of Diagnostic Imaging and Radiology, Children's National Hospital, Washington, District of Columbia.; Division of Fetal and Transitional Medicine, Children's National Hospital, Washington, District of Columbia.; Department of Pediatrics, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia.; Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, District of Columbia.
Zun Z; Department of Radiology, Weill Cornell Medicine, New York, New York.
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Źródło:
Magnetic resonance in medicine [Magn Reson Med] 2023 Apr; Vol. 89 (4), pp. 1456-1468. Date of Electronic Publication: 2022 Nov 24.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Magnetic Resonance Imaging*/methods
Image Interpretation, Computer-Assisted*/methods
Imaging, Three-Dimensional/methods ; Image Enhancement/methods ; Brain/diagnostic imaging
Czasopismo naukowe

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