From cells to pixels: A decision tree for designing bioimage analysis pipelines.

Authors: Fazeli E; Biomedicum Imaging Unit, Faculty of Medicine and HiLIFE, University of Helsinki, Helsinki, Finland., Haase R; Data Science Center, Leipzig University, Leipzig, Germany.; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden, Leipzig, Germany., Doube M; Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China., Miura K; Bioimage Analysis & Research, Okayama, Japan.; Graduate School of Frontier Biosciences, The University of Osaka, Osaka, Japan., Legland D; UR BIA, INRAE, Nantes, France.; PROBE Research Infrastructure, BIBS Facility, INRAE, Nantes, France.

Source: Journal of microscopy [J Microsc] 2025 Dec; Vol. 300 (3), pp. 384-408. Date of Electronic Publication: 2025 Aug 29.

Publication Type: Journal Article

Journal Info: Publisher: Published for the Royal Microscopical Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 0204522 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2818 (Electronic) Linking ISSN: 00222720 NLM ISO Abbreviation: J Microsc Subsets: MEDLINE

MeSH Terms: Image Processing, Computer-Assisted*/methods , Decision Trees* , Computational Biology*/methods

Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction.

Authors: Chen PT; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan., Yeh CY; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan., Chang YC; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan., Chen P; Internal Medicine, Chicago Medical School Internal Medicine Residency Program at Northwestern Mchenry Hospital, McHenry, USA., Lee CW; GE Healthcare, Taipei, Taiwan., Shieh CC; GE Healthcare, Taipei, Taiwan., Lin CY; GE Healthcare, Taipei, Taiwan., Liu KL; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan. Electronic address: kaolangliu@gmail.com.

Source: Journal of the Formosan Medical Association = Taiwan yi zhi [J Formos Med Assoc] 2025 Dec; Vol. 124 (12), pp. 1141-1148. Date of Electronic Publication: 2024 Oct 25.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Formosan Medical Association, Elsevier Country of Publication: Singapore NLM ID: 9214933 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 0929-6646 (Print) Linking ISSN: 09296646 NLM ISO Abbreviation: J Formos Med Assoc Subsets: MEDLINE

MeSH Terms: Deep Learning* , Quality Improvement* , Abdomen*/diagnostic imaging , Cholangiopancreatography, Magnetic Resonance*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Male ; Female ; Middle Aged ; Retrospective Studies ; Aged ; Signal-To-Noise Ratio ; Adult ; Time Factors

PHB in cyanobacteria: analyzing production through images processing and FT-IR techniques.

Authors: Sola PV; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Montenegro JF; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Moreira SI; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain. Electronic address: sandra.iglesias@aimen.es., Lorenzo FR; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Vandervorst P; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., González EP; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Lorenzo MP; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Couñago IP; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Landín SM; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Castilla LH; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Quinteiro JI; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Álvarez Rodríguez JA; AIMEN, Technology center, Material Laboratory / Environmental Technologies Unit / Smart systems & Smart manufacturing Unit, Polígono Industrial de Cataboi SUR-PPI-2 (Sector 2) Parcela 3, O Porriño 36418, Spain., Algarra BA; GEMMA-Group of Environmental Engineering and Microbiology, Department of Civil and Environmental Engineering, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya-BarcelonaTech, Av. Eduard Maristany 16, Building C5.1, Barcelona, Barcelona E-08019, Spain., Flo EG; GEMMA-Group of Environmental Engineering and Microbiology, Department of Civil and Environmental Engineering, Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya-BarcelonaTech, Av. Eduard Maristany 16, Building C5.1, Barcelona, Barcelona E-08019, Spain., García J; GEMMA-Group of Environmental Engineering and Microbiology. Department of Civil and Environmental Engineering. Universitat Politècnica de Catalunya-BarcelonaTech, c/ Jordi Girona 1-3. Building D1, Barcelona E-08034 , Spain.

Source: New biotechnology [N Biotechnol] 2025 Nov 25; Vol. 89, pp. 119-129. Date of Electronic Publication: 2025 Jul 17.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101465345 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-4347 (Electronic) Linking ISSN: 18716784 NLM ISO Abbreviation: N Biotechnol Subsets: MEDLINE

MeSH Terms: Hydroxybutyrates*/metabolism , Cyanobacteria*/metabolism , Image Processing, Computer-Assisted*, Spectroscopy, Fourier Transform Infrared/methods ; Polyhydroxybutyrates

Fully automated detection and identification of CSF shunt valves using YOLOv8 and a class-based reference image assignment as a safety mechanism.

Authors: Holtkamp M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. mathias.holtkamp@uk-essen.de.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany. mathias.holtkamp@uk-essen.de., Straus J; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Salhöfer L; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Styczen H; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Santoso MB; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Zensen S; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Deuschl C; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Hosch R; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Forsting M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Li Y; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Umutlu L; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Nensa F; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany., Haubold J; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany.

Source: Scientific reports [Sci Rep] 2025 Nov 21; Vol. 15 (1), pp. 41188. Date of Electronic Publication: 2025 Nov 21.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Cerebrospinal Fluid Shunts*/instrumentation , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Retrospective Studies

Multi-stage convo-enhanced retinex canny DeepLabv3+ FusionNet for enhanced detection and classification of bleeding regions in GI tract.

Authors: Sharmila V; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, Vandalur - Kelambakkam, Chennai, 600127, Tamilnadu, India., Geetha S; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, Vandalur - Kelambakkam, Chennai, 600127, Tamilnadu, India. geetha.s@vit.ac.in.

Source: Scientific reports [Sci Rep] 2025 Nov 20; Vol. 15 (1), pp. 40967. Date of Electronic Publication: 2025 Nov 20.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Gastrointestinal Hemorrhage*/diagnostic imaging , Gastrointestinal Hemorrhage*/diagnosis , Gastrointestinal Hemorrhage*/classification , Capsule Endoscopy*/methods , Image Processing, Computer-Assisted*/methods , Gastrointestinal Tract*/diagnostic imaging , Gastrointestinal Tract*/pathology , Image Interpretation, Computer-Assisted*/methods, Humans ; Algorithms

RELICT-NI: Replica Detection in Synthetic Neuroimaging-A Study on Noncontrast CT and Time-of-Flight MRA.

Authors: Aydin OU; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany. orhun-utku.aydin@charite.de., Koch A; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany., Hilbert A; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany., Rieger J; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany., Lohrke F; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany., Ishida F; Department of Neurosurgery, Mie Chuo Medical Center, 2158-5 Myojin-cho, Hisai, 514- 1101, Tsu, Japan., Tanioka S; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany.; Department of Neurosurgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, 514-8507, Japan., Frey D; CLAIM - Charité Lab for AI in Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany.; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 101117, Berlin, Germany.

Source: Neuroinformatics [Neuroinformatics] 2025 Nov 10; Vol. 23 (4), pp. 54. Date of Electronic Publication: 2025 Nov 10.

Publication Type: Journal Article

Journal Info: Publisher: Humana Press, Inc Country of Publication: United States NLM ID: 101142069 Publication Model: Electronic Cited Medium: Internet ISSN: 1559-0089 (Electronic) Linking ISSN: 15392791 NLM ISO Abbreviation: Neuroinformatics Subsets: MEDLINE

MeSH Terms: Neuroimaging*/methods , Magnetic Resonance Angiography*/methods , Tomography, X-Ray Computed*/methods , Deep Learning* , Cerebral Hemorrhage*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Brain*/diagnostic imaging, Humans ; Male ; Female ; Middle Aged

Utility of Harmonisation for Fixel-Based Metrics in Travelling Subjects and Alzheimer's Disease Data.

Authors: Zou R; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Department of Data Science, Juntendo University Graduate School of Medicine, Tokyo, Japan., Kamagata K; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Mito R; Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia.; Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia., Takabayashi K; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Andica C; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, Japan., Uchida W; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, Japan., Guo S; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Kitagawa T; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Department of Data Science, Juntendo University Graduate School of Medicine, Tokyo, Japan., Fujita S; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan., Uematsu A; Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Hyogo, Japan., Maikusa N; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan., Koike S; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan., Aoki S; Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Department of Data Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.; Faculty of Health Data Science, Juntendo University, Urayasu, Chiba, Japan.

Corporate Authors: Alzheimer's Disease Neuroimaging Initiative

Source: Human brain mapping [Hum Brain Mapp] 2025 Nov; Vol. 46 (16), pp. e70408.

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE

MeSH Terms: Alzheimer Disease*/diagnostic imaging , Alzheimer Disease*/pathology , White Matter*/diagnostic imaging , White Matter*/pathology , Diffusion Magnetic Resonance Imaging*/methods , Diffusion Magnetic Resonance Imaging*/standards , Image Processing, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/standards , Diffusion Tensor Imaging*/methods , Diffusion Tensor Imaging*/standards , Neuroimaging*/methods , Neuroimaging*/standards, Humans ; Male ; Female ; Aged ; Middle Aged

Oriented tooth detection: a CBCT image processing method integrated with RoI transformer.

Authors: Zhao Z; School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China.; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China.; School of Stomatology, Capital Medical University, Beijing 100070, China., Wu B; School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China., Su S; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China., Liu D; School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China., Wu Z; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China., Gao R; Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, Beijing 10050, China., Zhang N; School of Biomedical Engineering, Capital Medical University, Beijing 100069, China.; Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application, Capital Medical University, Beijing 100069, China.

Source: Dento maxillo facial radiology [Dentomaxillofac Radiol] 2025 Nov 01; Vol. 54 (8), pp. 695-705.

Publication Type: Journal Article

Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print Cited Medium: Internet ISSN: 1476-542X (Electronic) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol Subsets: MEDLINE

MeSH Terms: Cone-Beam Computed Tomography*/methods , Tooth*/diagnostic imaging , Image Processing, Computer-Assisted*/methods, Humans ; Imaging, Three-Dimensional/methods ; Radiography, Panoramic/methods

Investigating the effect of masking and background field removal algorithms on the quality of QSM reconstructions using a realistic numerical head phantom.

Authors: Milovic C; Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile; Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile., Fuchs PS; Department of Medical Physics and Biomedical Engineering, University College London, UK., Lambert M; Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile; Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile., Arsenov O; Department of Medical Physics and Biomedical Engineering, University College London, UK., Kiersnowski OC; Department of Medical Physics and Biomedical Engineering, University College London, UK., Muralidharan L; Department of Medical Physics and Biomedical Engineering, University College London, UK., Murdoch R; Department of Medical Physics and Biomedical Engineering, University College London, UK., Nassar J; Department of Medical Physics and Biomedical Engineering, University College London, UK., Shmueli K; Department of Medical Physics and Biomedical Engineering, University College London, UK. Electronic address: k.shmueli@ucl.ac.uk.

Source: NeuroImage [Neuroimage] 2025 Nov 01; Vol. 321, pp. 121499. Date of Electronic Publication: 2025 Oct 01.

Publication Type: Journal Article

Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE

MeSH Terms: Phantoms, Imaging* , Algorithms* , Image Processing, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/standards , Brain*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Neuroimaging*/methods , Brain Mapping*/methods, Humans ; Head/diagnostic imaging

Human Motion Video Generation: A Survey.

Authors: Xue H, Luo X, Hu Z, Zhang X, Xiang X, Dai Y, Liu J, Zhang Z, Li M, Yang J, Ma F, Wu Z, Yang C, Dai Z, Yu FR

Source: IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2025 Nov; Vol. 47 (11), pp. 10709-10730.

Publication Type: Journal Article; Review

Journal Info: Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 9885960 Publication Model: Print Cited Medium: Internet ISSN: 1939-3539 (Electronic) Linking ISSN: 00985589 NLM ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Subsets: MEDLINE

MeSH Terms: Image Processing, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/trends , Video Recording*/methods , Video Recording*/trends, Humans ; Movement/physiology ; Surveys and Questionnaires

Choice of Processing Pipelines for T1-Weighted Brain MRI Impacts Association and Prediction Analyses.

Authors: Delzant E; Sorbonne Université, Institut du Cerveau - Paris Brain Institute, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France., Colliot O; Sorbonne Université, Institut du Cerveau - Paris Brain Institute, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France., Couvy-Duchesne B; Sorbonne Université, Institut du Cerveau - Paris Brain Institute, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France.; Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.

Source: Human brain mapping [Hum Brain Mapp] 2025 Nov; Vol. 46 (16), pp. e70372.

Publication Type: Journal Article

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE

MeSH Terms: Magnetic Resonance Imaging*/methods , Magnetic Resonance Imaging*/standards , Neuroimaging*/methods , Neuroimaging*/standards , Image Processing, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/standards , Brain*/diagnostic imaging , Gray Matter*/diagnostic imaging , Gray Matter*/anatomy & histology, Humans ; Male ; Female ; Middle Aged ; Reproducibility of Results ; Adult ; Aged ; United Kingdom

Estimation of the Intracranial Volume Is Crucial in Multi-Site Studies: Reliability for Longitudinal Investigations and Traveling Subjects.

Authors: Koike S; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.; Institute for Diversity & Adaptation of Human Mind (UTIDAHM), University of Tokyo, Tokyo, Japan.; The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Institutes for Advanced Study (UTIAS), Tokyo, Japan., Maikusa N; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan., Cai L; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.; Division of Information Science, Nara Institute of Science and Technology, Nara, Japan., Ueda I; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan., Shibukawa S; Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Tokyo, Japan., Aso T; Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Hyogo, Japan., Tanaka SC; Division of Information Science, Nara Institute of Science and Technology, Nara, Japan.; Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan., Hayashi T; Faculty of Health Science, Department of Radiological Technology, Juntendo University, Tokyo, Japan.; Department of Brain Connectomics, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Corporate Authors: Japanese Strategic Research Program for the Promotion of Brain Science (SRPBS) DecNef Study Project Group, Brain/MINDS Beyond Human Brain MRI (BMB‐HBM) Study Project Group

Source: Human brain mapping [Hum Brain Mapp] 2025 Nov; Vol. 46 (16), pp. e70405.

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE

MeSH Terms: Magnetic Resonance Imaging*/standards , Magnetic Resonance Imaging*/methods , Brain*/anatomy & histology , Brain*/diagnostic imaging , Neuroimaging*/standards , Neuroimaging*/methods , Image Processing, Computer-Assisted*/standards , Image Processing, Computer-Assisted*/methods, Humans ; Male ; Female ; Reproducibility of Results ; Adult ; Longitudinal Studies ; Young Adult ; Middle Aged ; Adolescent ; Japan ; Aged

Anatomy-aware transformer-based model for precise rectal cancer detection and localization in MRI scans.

Authors: Li S; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China., Zhang Y; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China., Hong Y; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China., Yuan W; Pray-medical Technology, Hangzhou, China., Sun J; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China.; Cancer Center, Zhejiang University, Hangzhou, China.

Source: Journal of X-ray science and technology [J Xray Sci Technol] 2025 Nov; Vol. 33 (6), pp. 1059-1070. Date of Electronic Publication: 2025 Aug 25.

Publication Type: Journal Article

Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 9000080 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9114 (Electronic) Linking ISSN: 08953996 NLM ISO Abbreviation: J Xray Sci Technol Subsets: MEDLINE

MeSH Terms: Rectal Neoplasms*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Image Interpretation, Computer-Assisted*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Rectum/diagnostic imaging

Automatic quantitative kinetic analysis in salivary gland scintigraphy.

Authors: Anton Faria R; Department of Nuclear Medicine, A.C.Camargo Cancer Center, São Paulo, Brazil., Chagas Jaguar G, Nóbrega Pereira Lima E

Source: Nuclear medicine communications [Nucl Med Commun] 2025 Nov 01; Vol. 46 (11), pp. 1104-1114. Date of Electronic Publication: 2025 Jul 28.

Publication Type: Journal Article

Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 8201017 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-5628 (Electronic) Linking ISSN: 01433636 NLM ISO Abbreviation: Nucl Med Commun Subsets: MEDLINE

MeSH Terms: Salivary Glands*/diagnostic imaging , Salivary Glands*/metabolism , Radionuclide Imaging* , Image Processing, Computer-Assisted*/methods, Humans ; Kinetics ; Automation ; Female ; Middle Aged ; Male

A review of the application of deep learning in thyroid nodule imaging: from model architectures to training methods and core image analysis tasks.

Authors: Zhang L; School of Medical Imaging, Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China., Huang C; Department of Ultrasound, Shangyu People's Hospital of Shaoxing, Shaoxing, Zhejiang, People's Republic of China., Xu Q; Zhejiang Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China., Cheng L; Zhejiang Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine, Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.; School of Laboratory Medicine and Bioengineering, Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.

Source: Biomedical physics & engineering express [Biomed Phys Eng Express] 2025 Oct 31; Vol. 11 (6). Date of Electronic Publication: 2025 Oct 31.

Publication Type: Journal Article; Review

Journal Info: Publisher: IOP Publishing Ltd Country of Publication: England NLM ID: 101675002 Publication Model: Electronic Cited Medium: Internet ISSN: 2057-1976 (Electronic) Linking ISSN: 20571976 NLM ISO Abbreviation: Biomed Phys Eng Express Subsets: MEDLINE

MeSH Terms: Thyroid Nodule*/diagnostic imaging , Deep Learning* , Image Processing, Computer-Assisted*/methods , Image Interpretation, Computer-Assisted*/methods, Humans ; Algorithms ; Neural Networks, Computer

IoT integrated CNN framework for automated detection and quantification of rice and potato crop diseases.

Authors: Verma G; Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, Barabanki, India., Saxena AK; Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, Barabanki, India., Rai M; Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, Barabanki, India. er.mritunjayrai@gmail.com., Shaheen M; University of Roehampton, London, UK., Naaz S; University of Roehampton, London, UK.

Source: Scientific reports [Sci Rep] 2025 Oct 31; Vol. 15 (1), pp. 38199. Date of Electronic Publication: 2025 Oct 31.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Solanum tuberosum*/microbiology , Oryza*/microbiology , Plant Diseases* , Neural Networks, Computer* , Image Processing, Computer-Assisted*/methods, Crops, Agricultural/microbiology ; Smartphone

TDMAR-Net: a frequency-aware tri-domain diffusion network for CT metal artifact reduction.

Authors: Chen W; School of Information Engineering, Nanchang University, Nanchang 330031, People's Republic of China., Ning B; School of Information Engineering, Nanchang University, Nanchang 330031, People's Republic of China., Zhou Z; School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, People's Republic of China., Shi L; School of Information Engineering, Nanchang University, Nanchang 330031, People's Republic of China., Liu Q; School of Information Engineering, Nanchang University, Nanchang 330031, People's Republic of China.

Source: Physics in medicine and biology [Phys Med Biol] 2025 Oct 28; Vol. 70 (21). Date of Electronic Publication: 2025 Oct 28.

Publication Type: Journal Article

Journal Info: Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE

MeSH Terms: Artifacts* , Metals* , Tomography, X-Ray Computed* , Image Processing, Computer-Assisted*/methods , Neural Networks, Computer*, Diffusion ; Humans

Populational influence on cephalometric landmark identification: performance of two AI-driven software programs in Brazilian and Korean images.

Authors: Silva TP; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Sao Paulo, 13414-903, Brazil. thaisapinheirosilva@hotmail.com., Puntigam GS; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Sao Paulo, 13414-903, Brazil., Andrade-Bortoletto MFS; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Sao Paulo, 13414-903, Brazil., Takeshita WM; Department of Oral Diagnosis, Division of Oral Radiology, , School of Dentistry of Araçatuba, Paulista State University (UNESP), Araçatuba, Sao Paulo, 16015-050, Brazil., Oliveira-Santos C; Department of Diagnosis and Oral Health, University of Louisville School of Dentistry, Louisville, KY, U.S.A., Freitas DQ; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Sao Paulo, 13414-903, Brazil.

Source: BMC oral health [BMC Oral Health] 2025 Oct 10; Vol. 25 (1), pp. 1596. Date of Electronic Publication: 2025 Oct 10.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088684 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6831 (Electronic) Linking ISSN: 14726831 NLM ISO Abbreviation: BMC Oral Health Subsets: MEDLINE

MeSH Terms: Cephalometry*/methods , Anatomic Landmarks*/diagnostic imaging , Software* , Image Processing, Computer-Assisted*/methods, Humans ; Brazil ; Republic of Korea

Detection and classification of brain tumor using a hybrid learning model in CT scan images.

Authors: Ghasemi R; University of Greater Manchester, Bolton, UK., Islam N; University of Greater Manchester, Bolton, UK. N.Islam2@greatermanchester.ac.uk., Bayat S; I SMILE Company, Rotterdam, Netherlands., Shabir M; Department of Computer Science, University of Buner, Buner, Pakistan., Rahman S; Department of Computer Science, University of Buner, Buner, Pakistan., Amin F; School of Computer Science and Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea. farhanamin10@hotmail.com., de la Torre I; Department of Signal Theory and Communications, University of Valladolid, Valladolid, Spain. isator@uva.es., Castilla ÁK; Universidad Internacional Iberoamericana, Arecibo, PR, 00613, USA., García DLRV; Universidad Europea del Atlántico, Isabel Torres 21, 39011, Santander, Spain.

Source: Scientific reports [Sci Rep] 2025 Oct 08; Vol. 15 (1), pp. 35085. Date of Electronic Publication: 2025 Oct 08.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/classification , Tomography, X-Ray Computed*/methods , Machine Learning* , Image Processing, Computer-Assisted*/methods, Humans ; Magnetic Resonance Imaging ; Algorithms ; Neural Networks, Computer

Deep learning-based segmentation of 2D projection-derived overlapping prospore membrane in yeast.

Authors: Taguchi S; Ph.D. Program in Humanics, School of Integrative and Global Majors, University of Tsukuba.; Laboratory of Molecular Cell Biology, Institute of Medicine, University of Tsukuba.; Bioinformatics Laboratory, Institute of Medicine, University of Tsukuba.; Research and Development Department, LPIXEL Inc., Chagi K; Research and Development Department, LPIXEL Inc., Kawai H; Research and Development Department, LPIXEL Inc., Irie K; Laboratory of Molecular Cell Biology, Institute of Medicine, University of Tsukuba., Suda Y; Laboratory of Molecular Cell Biology, Institute of Medicine, University of Tsukuba.; Center for Advanced Photonics, RIKEN.

Source: Cell structure and function [Cell Struct Funct] 2025 Oct 03; Vol. 50 (2), pp. 183-195. Date of Electronic Publication: 2025 Sep 13.

Publication Type: Journal Article

Journal Info: Publisher: Japan Society for Cell Biology Country of Publication: Japan NLM ID: 7608465 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1347-3700 (Electronic) Linking ISSN: 03867196 NLM ISO Abbreviation: Cell Struct Funct Subsets: MEDLINE

MeSH Terms: Deep Learning* , Saccharomyces cerevisiae*/cytology , Image Processing, Computer-Assisted*/methods , Cell Membrane*/metabolism