Treffer 1 - 20 von 2.124

Spatio-temporal registration of multi-perspective 3D echocardiography for improved strain estimation
Sjoerdsma, M. ; Bouwmeester, S. ; van Heesch, F. ; et al.
Sjoerdsma, M, Bouwmeester, S, van Heesch, F, Houthuizen, P & Lopata, R G P 2026, 'Spatio-temporal registration of multi-perspective 3D echocardiography for improved strain estimation', Medical Image Analysis, vol. 107, no. Part A, 103791. https://doi.org/10.1016/j.media.2025.103791

Development of a Machine Learning Model for Screening Sleep Apnea in Heart Failure Patients Using Sleep Sensor Data
Gunasegarama, Mathushan ; Dinesen, Birthe ; Müller Larsen, Nikolaj ; et al.
Gunasegarama, M, Dinesen, B, Müller Larsen, N, Ghamari Gilavai, G, Røge, K, Kirk Østergaard, M & Rovsing Jochumsen, M 2025, Development of a Machine Learning Model for Screening Sleep Apnea in Heart Failure Patients Using Sleep Sensor Data. in Good Evaluation - Better Digital Health. vol. 332, IOS Press, Studies in Health Technology and Informatics, vol. 332, pp. 62-66, EFMI Special Topic Conference 2025, Osnabrück, Germany, 20/10/2025. https://doi.org/10.3233/SHTI251496

Enhancing reconstruction-based out-of-distribution detection in brain MRI with model and metric ensembles
Huijben, Evi M.C. ; Amirrajab, Sina ; Pluim, Josien P.W.
Huijben, E M C, Amirrajab, S & Pluim, J P W 2025, 'Enhancing reconstruction-based out-of-distribution detection in brain MRI with model and metric ensembles', Computer Methods and Programs in Biomedicine, vol. 272, 109045. https://doi.org/10.1016/j.cmpb.2025.109045

A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks
Schuiveling, Mark ; Liu, Hong ; Eek, Daniel ; et al.
Schuiveling, M, Liu, H, Eek, D, Breimer, G E, Suijkerbuijk, K P M, Blokx, W A M & Veta, M 2025, 'A novel dataset for nuclei and tissue segmentation in melanoma with baseline nuclei segmentation and tissue segmentation benchmarks', GigaScience, vol. 14, giaf011. https://doi.org/10.1093/gigascience/giaf011

Glioblastoma Detection with Hyperspectral Image Analysis through Optimal Wavelength Selection
Verbers, Max ; Manni, Francesca ; Fabelo, Himar ; et al.
Verbers, M, Manni, F, Fabelo, H, Leon, R, Burström, G, Lagares, A, Piñeiro, J F, Morera Molina, J, Marrero Callicó , G & Zinger, S 2025, Glioblastoma Detection with Hyperspectral Image Analysis through Optimal Wavelength Selection. in 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025., 11252746, Institute of Electrical and Electronics Engineers, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Copenhagen, Denmark, 14/07/25. https://doi.org/10.1109/EMBC58623.2025.11252746

Evaluation of an improved computer-aided detection system for Barrett's neoplasia in real-world imaging conditions
Jong, Martijn R. ; van Eijck van Heslinga, Rixta A.H. ; Kusters, Koen ; et al.
BONS-AI consortium, Jong, M R, van Eijck van Heslinga, R A H, Kusters, K, Jaspers, T J M, Boers, T, Duits, L C, Pouw, R E, Weusten, B L A M, Alkhalaf, A, van der Sommen, F, de With, P H N, de Groof, A J & Bergman, J J G H M 2025, 'Evaluation of an improved computer-aided detection system for Barrett's neoplasia in real-world imaging conditions', Endoscopy, vol. 57, no. 12, pp. 1327-1337. https://doi.org/10.1055/a-2642-7584

Transfer learning for DL-based Synthetic CT after reconstruction algorithm upgrade in a proton therapy clinic
Galapon, Arthur ; Wagenaar, Dirk ; Langendijk, Johannes Albertus ; et al.
Galapon, A, Wagenaar, D, Langendijk, J A & Both, S 2025, 'Transfer learning for DL-based Synthetic CT after reconstruction algorithm upgrade in a proton therapy clinic', Medical Physics, vol. 52, no. 7, e17937. https://doi.org/10.1002/mp.17937

Voxel-Wise or Region-Wise Nuisance Regression for Functional Connectivity Analyses:Does It Matter?
Muganga, Tobias ; Sasse, Leonard ; Larabi, Daouia I ; et al.
Muganga, T, Sasse, L, Larabi, D I, Nieto, N, Caspers, J, Eickhoff, S B & Patil, K R 2025, 'Voxel-Wise or Region-Wise Nuisance Regression for Functional Connectivity Analyses : Does It Matter?', Human brain mapping, vol. 46, no. 12, e70323. https://doi.org/10.1002/hbm.70323

Early generation dynamic and static proton arc treatment planning algorithms assessment in oropharyngeal cancer patients
De Jong, Bas Adriaan ; Zhao, Lewei ; Liu, Peilin ; et al.
De Jong, B A, Zhao, L, Liu, P, Wase, V, Marthin, O, Sundström, J, Liu, G, Deroniyagala, R, Li, X, Cong, X, Janssens, G, Engwall, E, Korevaar, E W, Ding, X, Langendijk, J A & Both, S 2025, 'Early generation dynamic and static proton arc treatment planning algorithms assessment in oropharyngeal cancer patients', Medical Physics, vol. 52, no. 7, e17916. https://doi.org/10.1002/mp.17916

Defining and sparing sexual function-related organs at risk for rectal cancer radiotherapy
Kronborg, Camilla J S ; Arp, Dennis T ; Bahij, Rana ; et al.
Kronborg , C J S , Arp , D T , Bahij , R , Biancardo , S B N , Diness , L V , Engstrøm , K H , Fokdal , L U , Pedersen , B G , Havelund , B , Hvid , C A , Jakobsen , K L , Kirchheiner , K , Lutz , C M , Nyvang , L , Oggesen , B T , Petersen , S E , Poulsen , L Ø , Rønde , H S , Schou , L K , Serup-Hansen , E , Steffensen , ....

A knowledge-driven deep learning framework for organoid morphological segmentation and characterization
Qin, Yiming ; Li, Jiajia ; Heng, Yin ; et al.
Qin, Y, Li, J, Heng, Y, Wang, Z, Wu, D, Rahman, M, Hu, P, Plötz, T, Hopp, A, Kurniawan, N, Winkel, M, Harbach, P, Tang, C & Tan, F 2025, 'A knowledge-driven deep learning framework for organoid morphological segmentation and characterization', BMC Biology, vol. 23, no. 1, 313. https://doi.org/10.1186/s12915-025-02411-8

Immediate Implant Placement and Provisionalization in the Aesthetic Zone Using a Digital Workflow:A 1-Year Prospective Case Series Study
Donker, Vincent J J ; Raghoebar, Gerry M ; Vissink, Arjan ; et al.
Donker, V J J, Raghoebar, G M, Vissink, A & Meijer, H J A 2025, 'Immediate Implant Placement and Provisionalization in the Aesthetic Zone Using a Digital Workflow : A 1-Year Prospective Case Series Study', Clinical Implant Dentistry and Related Research, vol. 27, no. 4, e70079. https://doi.org/10.1111/cid.70079

Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging
Butler, Mairead B. ; Papageorgiou, Georgios ; Kanoulas, Evangelos D. ; et al.
Butler, M B, Papageorgiou, G, Kanoulas, E D, Voulgaridou, V, Wijkstra, H, Mischi, M, Mannaerts, C K, McDougall, S, Duncan, W C, Lu, W & Sboros, V 2025, 'Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging', European Radiology Experimental, vol. 9, no. 1, 25. https://doi.org/10.1186/s41747-025-00561-6

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy
Klarenberg, Rosalie ; Bakx, Nienke L.M. ; Hurkmans, Coen W.
Klarenberg, R, Bakx, N L M & Hurkmans, C W 2025, 'A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy', Journal of Applied Clinical Medical Physics, vol. 26, no. 6, e70047. https://doi.org/10.1002/acm2.70047

Numerical Simulation of Intravascular Ultrasound Images Based on Patient-Specific Computed Tomography
van Aarle, D.A.C. ; Fasen, Floor ; Schmeitz, Harold A.W. ; et al.
van Aarle, D A C, Fasen, F, Schmeitz, H A W, de Bruijn, F J, van Sambeek, M R H M, Schwab, H-M & Lopata, R G P 2025, 'Numerical Simulation of Intravascular Ultrasound Images Based on Patient-Specific Computed Tomography', IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 72, no. 2, 10816443, pp. 215-225. https://doi.org/10.1109/TUFFC.2024.3523037

Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems
Kusters, Koen ; Jaspers, Tim J.M. ; Boers, Tim ; et al.
BONS-AI consortium, Kusters, K, Jaspers, T J M, Boers, T, van der Sommen, F, de With, P H N & Bergman, J J G H M 2025, 'Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems', Endoscopy, vol. 57, no. 6, pp. 602-610. https://doi.org/10.1055/a-2530-1845

An 8Tx/32Rx head-neck coil at 7T by combining 2Tx/32Rx Nova coil with 6Tx shielded coaxial cable elements
Güler, Sadri ; Povaz̆an, Michal ; Zhurbenko, Vitaliy ; et al.
Güler, S, Povaz̆an, M, Zhurbenko, V & Zivkovic, I 2025, 'An 8Tx/32Rx head-neck coil at 7T by combining 2Tx/32Rx Nova coil with 6Tx shielded coaxial cable elements', Magnetic Resonance in Medicine, vol. 93, no. 2, pp. 864-872. https://doi.org/10.1002/mrm.30297

Diffusion-derived intravoxel-incoherent motion anisotropy relates to CSF and blood flow
Voorter, Paulien H.M. ; Jansen, Jacobus F.A. ; van der Thiel, Merel M. ; et al.
Voorter, P H M, Jansen, J F A, van der Thiel, M M, van Dinther, M, Postma, A A, van Oostenbrugge, R J, Gurney-Champion, O J, Drenthen, G S & Backes, W H 2025, 'Diffusion-derived intravoxel-incoherent motion anisotropy relates to CSF and blood flow', Magnetic Resonance in Medicine, vol. 93, no. 3, pp. 930-941. https://doi.org/10.1002/mrm.30294

The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy
Jaspers, Tim J.M. ; Jukema, Jelmer B. ; Kusters, Koen ; et al.
BONS-AI consortium, Jaspers, T J M, Jukema, J B, Kusters, K, Boers, T, de With, P H N, van der Sommen, F & Bergman, J J G H M 2025, 'The development and ex vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy', Endoscopy, vol. 57, no. 7, pp. 709-716. https://doi.org/10.1055/a-2537-3510

Harmonizing CT scanner acquisition variability in an anthropomorphic phantom:A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combination
Mali, Shruti Atul ; Rad, Nastaran Mohammadian ; Woodruff, Henry C ; et al.
Mali, S A, Rad, N M, Woodruff, H C, Depeursinge, A, Andrearczyk, V & Lambin, P 2025, 'Harmonizing CT scanner acquisition variability in an anthropomorphic phantom : A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combination', PLOS ONE, vol. 20, no. 5, e0322365. https://doi.org/10.1371/journal.pone.0322365