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Jacob J. Visser
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2020 – today
- 2024
- [j3]James M. Hillis, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest-Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole:
The lucent yet opaque challenge of regulating artificial intelligence in radiology. npj Digit. Medicine 7(1) (2024) - [i4]Douwe J. Spaanderman, Martijn P. A. Starmans, Gonnie C. M. van Erp, David F. Hanff, Judith H. Sluijter, Anne-Rose W. Schut, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Grünhagen, Wiro J. Niessen, Jacob J. Visser, Stefan Klein:
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning. CoRR abs/2402.07746 (2024) - [i3]Douwe J. Spaanderman, Matthew Marzetti, Xinyi Wan, Andrew F. Scarsbrook, Philip Robinson, Edwin H. G. Oei, Jacob J. Visser, Robert Hemke, Kirsten van Langevelde, David F. Hanff, Geert J. L. H. van Leenders, Cornelis Verhoef, Dirk J. Gruühagen, Wiro J. Niessen, Stefan Klein, Martijn P. A. Starmans:
AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines. CoRR abs/2408.12491 (2024) - 2023
- [j2]Harm J. H. Gijsbers, J. Kleiss, S. A. Nurmohamed, T. H. van de Belt, Marlies P. Schijven, M. N. Bekker, M. A. Buijs, E. Buskens, Niels H. Chavannes, D. van Dam, N. van Eldik, J. M. Goossens, M. Janssen, M. J. Kasteleyn, R. B. Kool, T. Lachkar, Maarten M. H. Lahr, H. Martens, E. I. Metting, Anna V. Silven, M. Snoeren, M. K. J. van der Steen, I. M. Verdonck-de Leeuw, N. Venema Taat, Jacob J. Visser, S. H. Willems, V. van Zwieten:
Upscaling telemonitoring in Dutch University Medical Centres: A baseline measurement. Int. J. Medical Informatics 175: 105085 (2023) - 2022
- [j1]Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein:
Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach. J. Digit. Imaging 35(2): 127-136 (2022) - 2021
- [i2]Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen, Melissa Vos, Guillaume A. Padmos, Wouter Kessels, David Hanff, Dirk J. Grünhagen, Cornelis Verhoef, Stefan Sleijfer, Martin J. van den Bent, Marion Smits, Roy S. Dwarkasing, Christopher J. Els, Federico Fiduzi, Geert J. L. H. van Leenders, Anela Blazevic, Johannes Hofland, Tessa Brabander, Renza A. H. van Gils, Gaston J. H. Franssen, Richard A. Feelders, Wouter W. de Herder, Florian E. Buisman, François E. J. A. Willemssen, Bas Groot Koerkamp, Lindsay Angus, Astrid A. M. van der Veldt, Ana Rajicic, Arlette E. Odink, Mitchell Deen, Jose M. Castillo T, Jifke F. Veenland, Ivo Schoots, Michel Renckens, Michail Doukas, Rob A. de Man, Jan N. M. IJzermans, Razvan L. Miclea, Peter B. Vermeulen, Esther E. Bron, Maarten G. Thomeer, Jacob J. Visser, Wiro J. Niessen, Stefan Klein:
Reproducible radiomics through automated machine learning validated on twelve clinical applications. CoRR abs/2108.08618 (2021) - 2020
- [i1]Martijn P. A. Starmans, Milea J. M. Timbergen, Melissa Vos, Michel Renckens, Dirk J. Grünhagen, Geert J. L. H. van Leenders, Roy S. Dwarkasing, François E. J. A. Willemssen, Wiro J. Niessen, Cornelis Verhoef, Stefan Sleijfer, Jacob J. Visser, Stefan Klein:
Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach. CoRR abs/2010.06824 (2020)
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last updated on 2024-10-28 20:12 CET by the dblp team
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