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Martijn P. A. Starmans
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2020 – today
- 2024
- [i5]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) - [i4]Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (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
- [c4]Vien Ngoc Dang
, Adrià Casamitjana
Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. CLIP/FAIMI/EPIMI@MICCAI 2023: 172-182 - 2022
- [j1]Martijn P. A. Starmans
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
- [c3]K. B. de Raad, Karin A. van Garderen, Marion Smits, Sebastian R. van der Voort
The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation. ISBI 2021: 655-658 - [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)
2010 – 2019
- 2019
- [c2]Jose M. Castillo T
Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach. ISBI 2019: 1319-1322 - 2018
- [c1]Martijn P. A. Starmans
Classification of malignant and benign liver tumors using a radiomics approach. Medical Imaging: Image Processing 2018: 105741D
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last updated on 2024-09-30 00:10 CEST by the dblp team
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