Sökresultat - "unsupervised machine learning"

A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping.

Ghorvei M; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland., Karhu T; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland., Hietakoste S; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland., Ferreira-Santos D; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal., Hrubos-Strøm H; Department of ear-nose and throat, Akershus University Hospital, Lørenskog, Norway.; Campus Akershus University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway., Islind AS; Department of Computer Science, Reykjavik University, Reykjavik, Iceland., Biedebach L; Department of Computer Science, Reykjavik University, Reykjavik, Iceland., Nikkonen S; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland., Leppänen T; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Queensland, Australia., Rusanen M; Department of Technical Physics, University of Eastern Finland, Kuopio, Finland.; Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland.; HP2 Laboratory, INSERM U1300, Grenoble Alpes University, Grenoble Alpes University Hospital, Grenoble, France.

Journal Article; Comparative Study , 2025

Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma.

Reierson MM; Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, B15 2TT, UK., Acharjee A; Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, B15 2TT, UK. a.acharjee@bham.ac.uk.; Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2TT, UK. a.acharjee@bham.ac.uk.; MRC Health Data Research UK (HDR), Midlands Site, UK. a.acharjee@bham.ac.uk.; Centre for Health Data Research, University of Birmingham, Birmingham, B15 2TT, UK. a.acharjee@bham.ac.uk.

Journal Article , 2025

Unsupervised Adaptive Deep Learning Framework for Video Denoising in Light Scattering Imaging.

Lin M; Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China., Zheng Y; Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China., Yang L; Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China., Yan J; Department of Electrical Engineering, School of Intelligent Manufacturing and Electrical Engineering, Guangzhou Institute of Science and Technology, Guangzhou 510540, China., Ma X; Department of Biomedical Engineering, College of Engineering, Shantou University, Shantou 515063, China., Guo Y; Department of Neurosurgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515063, China.

Journal Article , 2025

Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

Wang Y; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan, 250021, China.; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China., Wang H; Department of Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong, China., Li N; Department of Radiology, The People's Hospital of Zhangqiu Area, Jinan, 250200, China., Wu S; Department of Radiology, Shandong Provincial Hospital, No. 324, Jingwu Road, Jinan, 250021, Shandong, China., Shi R; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China., Sun K; Department of General Surgery, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. sksunkui@163.com., Wang X; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan, 250021, China. wxming369@163.com.

Journal Article , 2025

Unsupervised detection of sub-sequence anomalies in epilepsy EEG.

Toliopoulos T; Department of Informatics, Aristotle University of Thessaloniki, Greece. Electronic address: tatoliop@csd.auth.gr., Gounaris A; Department of Informatics, Aristotle University of Thessaloniki, Greece. Electronic address: gounaria@csd.auth.gr., Laskaris N; Department of Informatics, Aristotle University of Thessaloniki, Greece. Electronic address: laskaris@csd.auth.gr.

Journal Article , 2025

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.

Zotova D; INSA Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, F-69621, France., Pinon N; INSA Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, F-69621, France., Trombetta R; INSA Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, F-69621, France., Bouet R; Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Univ Lyon 1, Bron, 69500, France., Jung J; Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Univ Lyon 1, Bron, 69500, France., Lartizien C; INSA Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, F-69621, France. Electronic address: carole.lartizien@creatis.insa-lyon.fr.

Journal Article , 2025

Pathway Enrichment-Based Unsupervised Learning Identifies Novel Subtypes of Cancer-Associated Fibroblasts in Pancreatic Ductal Adenocarcinoma.

Ai H; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.; Intelligent Pharmacy Interdisciplinary Research Center, China Pharmaceutical University, Nanjing, 211198, China.; Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China., Nie R; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.; Intelligent Pharmacy Interdisciplinary Research Center, China Pharmaceutical University, Nanjing, 211198, China.; Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China., Wang X; Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China. xiaosheng.wang@cpu.edu.cn.; Intelligent Pharmacy Interdisciplinary Research Center, China Pharmaceutical University, Nanjing, 211198, China. xiaosheng.wang@cpu.edu.cn.; Big Data Research Institute, China Pharmaceutical University, Nanjing, 211198, China. xiaosheng.wang@cpu.edu.cn.

Journal Article , 2025

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging.

Zhou Y, Li H, Liu J, Kong Z, Huang T, Ahn E, Lv Z, Kim J, Feng DD

Journal Article , 2025

ISGAN: Unsupervised Domain Adaptation With Improved Symmetric GAN for Cross-Modality Multi-Organ Segmentation.

Li J, Zhang Y, Xu L, Yao Y, Qi L

Journal Article , 2025

Unsupervised discovery of clinical disease signatures using probabilistic independence.

Lasko TA; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA; Vanderbilt University, 2301 Vanderbilt Pl, Nashville, TN 37235, USA. Electronic address: tom.lasko@vanderbilt.edu., Stead WW; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA., Still JM; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA., Li TZ; Vanderbilt University, 2301 Vanderbilt Pl, Nashville, TN 37235, USA., Kammer M; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA., Barbero-Mota M; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA., Strobl EV; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA; University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA 15260, USA., Landman BA; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA; Vanderbilt University, 2301 Vanderbilt Pl, Nashville, TN 37235, USA., Maldonado F; Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA.

Journal Article , 2025

Rhythm profiling using COFE reveals multi-omic circadian rhythms in human cancers in vivo.

Ananthasubramaniam B; Institute for Theoretical Biology, Humboldt Universität zu Berlin, Berlin, Germany., Venkataramanan R; Department of Engineering, University of Cambridge, Cambridge, United Kingdom.

Journal Article , 2025

Analyzing the impact of clay minerals on the reservoir quality of the Lower Goru Formation using Unsupervised Machine Learning.

Noreen K; Department of Earth Sciences, Quaid-i- Azam University, Islamabad, Pakistan., Azeem T; Department of Earth Sciences, Quaid-i- Azam University, Islamabad, Pakistan., Rehman F; Department of Earth Sciences, Quaid-i- Azam University, Islamabad, Pakistan., Amin Y; Department of Earth Sciences, Quaid-i- Azam University, Islamabad, Pakistan., Ahmad QA; College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, China., Hussain M; Department of Soil and Environmental Sciences, Ghazi University, Dera Ghazi Khan, Pakistan.

Journal Article , 2025

Unsupervised post-training learning in spiking neural networks.

Naderi R; Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran., Rezaei A; Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran., Amiri M; Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran. Ma_amiri_bme@yahoo.com., Peremans H; Department of Engineering Management, University of Antwerp, Antwerp, Belgium. Herbert.peremans@uantwerpen.be.

Journal Article , 2025

Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction.

Onah E; Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Enugu State, 410001, Nigeria. emmanuel.onah.187260@unn.edu.ng., Eze UJ; College of Pharmacy, Ohio State University, Ohio, 43210, USA. eze.18@buckeyemail.osu.edu., Abdulraheem AS; Department of Pharmacognosy, Faculty of Pharmacy, University of Lagos, Akoka, Yaba, Lagos, 101017, Nigeria., Ezigbo UG; School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15261, USA., Amorha KC; Department of Clinical Pharmacy and Pharmacy Management, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka, Enugu State, 410001, Nigeria., Ntie-Kang F; Center for Drug Discovery (UB-CeDD), Faculty of Science, University of Buea, Buea, Cameroon. fidele.ntie-kang@ubuea.cm.

Journal Article , 2025

Threshold-based exploitation of noisy label in black-box unsupervised domain adaptation.

Xu H; Data Mining Lab, Seoul National University, Seoul, Republic of Korea., Lee J; Data Mining Lab, Seoul National University, Seoul, Republic of Korea., Kang U; Data Mining Lab, Seoul National University, Seoul, Republic of Korea.

Journal Article , 2025

Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity.

Marini M; Department of Mathematics, University of Houston, Houston, TX, USA., Niu Y; Department of Mathematics, University of Houston, Houston, TX, USA., Zhao H; Department of Mathematics, University of Houston, Houston, TX, USA., Mohan A; Division of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH, USA., Koorndyk N; Neuroscience Graduate Program, University of Cincinnati, Cincinnati, OH, USA., Kruyer A; Division of Pharmaceutical Sciences, University of Cincinnati, Cincinnati, OH, USA.; Neuroscience Graduate Program, University of Cincinnati, Cincinnati, OH, USA.; Center for Addiction Research, University of Cincinnati, Cincinnati, OH, USA., Labate D; Department of Mathematics, University of Houston, Houston, TX, USA.

Journal Article , 2025

Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

Malahfji M; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA., Tan X; Department of Statistics, Rice University, Houston, Texas, USA., Kaolawanich Y; Division of Cardiology, Department of Internal Medicine, Duke University, Durham, North Carolina, USA., Saeed M; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA., Guta A; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA; Division of Cardiology, Department of Medicine, Emergency Clinical Hospital of Bucharest, Bucharest, Romania., Reardon MJ; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA., Zoghbi WA; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA., Polsani V; Fuqua Heart Center, Piedmont Heart Institute, Atlanta, Georgia, USA., Elliott M; Sanger Heart and Vascular Institute, Atrium Health, Charlotte, North Carolina, USA., Kim R; Division of Cardiology, Department of Internal Medicine, Duke University, Durham, North Carolina, USA., Li M; Department of Statistics, Rice University, Houston, Texas, USA. Electronic address: meng@rice.edu., Shah DJ; Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA. Electronic address: DJShah@houstonmethodist.org.

Journal Article; Multicenter Study; Validation Study , 2025

Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

Chaudhary S; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Lane EG; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Levy A; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., McGrath A; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Mema E; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Reichmann M; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Dodelzon K; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Simon K; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Chang E; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Nickel MD; MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany., Moy L; Department of Radiology, New York University School of Medicine, New York, New York, USA., Drotman M; Department of Radiology, Weill Cornell Medical College, New York, New York, USA., Kim SG; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.

Journal Article , 2025

Reducing bias in source-free unsupervised domain adaptation for regression.

Zhan Q; Department of Computer Science, University of Manchester, Oxford Rd, Manchester, M13 9PL, United Kingdom. Electronic address: qianshan.zhan@postgrad.manchester.ac.uk., Zeng XJ; Department of Computer Science, University of Manchester, Oxford Rd, Manchester, M13 9PL, United Kingdom. Electronic address: x.zeng@manchester.ac.uk., Wang Q; Luca Healthcare R&D, Shanghai, 200000, China. Electronic address: qian.wang173@hotmail.com.

Journal Article , 2025

Unsupervised brain MRI tumour segmentation via two-stage image synthesis.

Zhang X; School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China; Department of Brain Sciences, Imperial College London, London, United Kingdom., Ou N; School of Automation, Beijing Institute of Technology, Beijing, China., Liu C; School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China., Zhuo Z; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China., Matthews PM; Department of Brain Sciences, Imperial College London, London, United Kingdom; UK Dementia Research Institute, Imperial College London, London, United Kingdom., Liu Y; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. Electronic address: liuyaou@bjtth.org., Ye C; School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China. Electronic address: chuyang.ye@bit.edu.cn., Bai W; Department of Brain Sciences, Imperial College London, London, United Kingdom; Department of Computing, Imperial College London, London, United Kingdom. Electronic address: w.bai@imperial.ac.uk.

Journal Article , 2025