Publikacje

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Publikacje
  1. Garrucho L, Kushibar K, Reidel C.-A, Joshi S, Osuala R, Tsirikoglou A, Bobowicz M, del Riego J, Catanese A, Gwoździewicz K, Cosaka M.-L, Abo-Elhoda P.M, Tantawy S.W, Sakrana S.S, Shawky-Abdelfatah N.O, Salem A.M.A, Kozana A, Divjak E, Ivanac G, Nikiforaki K, Klontzas M.E, García-Dosdá R, Gulsun-Akpinar M, Lafcı O, Mann R, Martín-Isla C, Prior F, Marias K, Starmans M.P.A, Strand F, Díaz O, Igual L, Lekadir K., A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations (2025) Scientific Data , 12(1): 453

  2. Chouvarda I, Colantonio S, Verde A.S.C, Jimenez-Pastor A, Cerdá-Alberich L, Metz Y., Zacharias L, Nabhani-Gebara S., Bobowicz M, Tsakou G, Lekadir K, Tsiknakis M, Martí-Bonmati L, Papanikolaou N., Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! (2025), European Radiology Experimental, 9(1): 7

  3. Lekadir K, Frangi A.F, Porras A.R, Glocker B, Cintas C, Langlotz C.P, Weicken E, Asselbergs F.W, Prior F, Collins G.S, Kaissis G, Tsakou G, Buvat I, Kalpathy-Cramer J, Mongan J, Schnabel J.A, Kushibar K, Riklund K, Marias K, Amugongo L.M, Fromont L.A, Maier-Hein L, Cerdá-Alberich L, Martí-Bonmatí L, Cardoso M.J, Bobowicz M, Shabani M, Tsiknakis M, Zuluaga M.A, Fritzsche M.-C, Camacho M, Linguraru M.G, Wenzel M, De Bruijne M, Tolsgaard M.G, Goisauf M, Cano Abadía M, Papanikolaou N, Lazrak N, Pujol O, Osuala R, Napel S, Colantonio S, Joshi S, Klein S, Aussó S, Rogers W.A, Salahuddin Z, Starmans M.P.A., FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare (2025), BMJ, e081554

  4. Kondylakis H, Catalan R, Alabart S.M, Barelle C, Bizopoulos P, Bobowicz M, Bona J, Fotiadis D.I, Garcia T, Gomez I, Jimenez-Pastor A, Karatzanis G, Lekadir K, Kogut-Czarkowska M, Lalas A, Marias K, Marti-Bonmati L, Munuera J, Nikiforaki K, Pelissier M, Prior F, Rutherford M, Saint-Aubert L, Sakellariou Z, Seymour K, Trouillard T, Votis K, Tsiknakis M., Documenting the de-identification process of clinical and imaging data for AI for health imaging projects (2024), Insights into Imaging, 15(1): 130

  5. Bobowicz M, Badocha M, Gwozdziewicz K, Rygusik M, Kalinowska P, Szurowska E, Dziubich T., Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images (2024), International Journal of Medical Informatics, 189: 105522

  6. Nikiforaki K, Karatzanis I, Dovrou A, Bobowicz M, Gwozdziewicz K, Díaz O, Tsiknakis M, Fotiadis D.I, Lekadir K, Marias K., Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions (2024), Journal of Imaging, 10(5):115

  7. Bobowicz M, Rygusik M, Buler J, Buler R, Ferlin M, Kwasigroch A, Szurowska E, Grochowski M., Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach (2023), artykuł, Cancers, 15(10): 2704

  8. Garrucho L, Kushibar K, Osuala R, Diaz O, Catanese A. del Riego J, Bobowicz M, Strand F, Igual L, Lekadir K., High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection (2023) Frontiers in Oncology, 12: 1044496

  9. Marti-Bonmati L, Koh DM, Riklund K, Bobowicz M, Roussakis Y,Vilanova JC, Fütterer JJ, Rimola J, Mallol P, Ribas G, Miguel A, Tsiknakis M, Lekadir K, Tsakou G., Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper (2022), Insights into Imaging, 13(1): 89

  10. Bobowicz M, Markiet K, Gąsiorowski M, Potencjalne zastosowania sztucznej inteligencji w nowoczesnej diagnostyce radiologicznej chorób nowotworowych. [ang. Potential implementation of artificial intelligence in modern oncological imaging] (2021), rozdział, Źródło: W: Nowoczesna diagnostyka w onkologii / red. wyd. PAULA DOBOSZ; Adres wydawniczy: Warszawa; PZWL, 2021 Opis fizyczny: S. 97-142; Bibliogr. 162 poz. ISBN: 978-83-200-6474-2