يعرض 91 - 100 نتائج من 547 نتيجة بحث عن '"Department of Quantitative Biomedicine"', وقت الاستعلام: 1.24s تنقيح النتائج
  1. 91
    تقرير

    المصدر: Ezhov, Ivan; Scibilia, Kevin; Franitza, Katharina; Steinbauer, Felix; Shit, Suprosanna; Zimmer, Lucas; Lipková, Jana; Kofler, Florian; Paetzold, Johannes C; Canalini, Luca; Waldmannstetter, Diana; Menten, Martin J; Metz, Marie; Wiestler, Benedikt; Menze, Bjoern H (2022). Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling. ArXiv.org 2111.04090, Cornell University.

    وصف الملف: application/pdf

  2. 92
    تقرير

    المصدر: Sudre, Carole H; Ezhov, Ivan; Kofler, Florian; Menze, Bjoern H; et al (2022). Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. ArXiv.org 2208.07167, Cornell University.

    وصف الملف: application/pdf

  3. 93
    تقرير

    المصدر: Pérez-Berlanga, Manuela; Wiersma, Vera; Zbinden, Aurélie; De Vos, Laura; Wagner, Ulrich; Foglieni, Chiara; Mallona Gonzalez, Izaskun; Betz, Katharina M; Cléry, Antoine; Weber, Julien; Guo, Zhongning; Rigort, Ruben; De Rossi, Pierre; Manglunia, Ruchi; Tantardini, Elena; Sahadevan, Sonu; Stach, Oliver; Hruska-Plochan, Marian; Allain, Frederic H-T; Paganetti, Paolo; Polymenidou, Magdalini (2022). TDP-43 oligomerization and RNA binding are codependent but their loss elicits distinct pathologies. bioRxiv PPR49, Cold Spring Harbor Laboratory.

    وصف الملف: application/pdf

  4. 94
    تقرير

    المؤلفون: Fidon, Lucas, Menze, Bjoern

    المصدر: Fidon, Lucas; et al; Menze, Bjoern (2022). A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation. ArXiv.org 2204.02779, Cornell University.

    وصف الملف: application/pdf

  5. 95
    تقرير

    المصدر: Petzsche, Moritz Roman Hernandez; et al; Kofler, Florian; Ezhov, Ivan; Menze, Bjoern (2022). ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. ArXiv.org 2206.06694, Cornell University.

    وصف الملف: application/pdf

  6. 96
    تقرير

    المصدر: Ezhov, Ivan; Zimmer, Lucas; Menze, Bjoern; et al (2022). A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling. ArXiv.org 2205.04550, Cornell University.

    وصف الملف: application/pdf

  7. 97
    تقرير

    المصدر: Menten, Martin J; Paetzold, Johannes C; Dima, Alina; Menze, Bjoern H; Knierim, B; Rueckert, Daniel (2022). Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs. ArXiv.org 2207.11102, Cornell University.

    وصف الملف: application/pdf

  8. 98
    تقرير

    المصدر: Navarro, Fernando; Sasahara, Guido; Shit, Suprosanna; Ezhov, Ivan; Peeken, Jan C; Combs, Stephanie E; Menze, Bjoern H (2022). A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning. ArXiv.org 00624, Cornell University.

    وصف الملف: application/pdf

  9. 99
    تقرير

    المصدر: Shit, Suprosanna; Koner, Rajat; Wittmann, Bastian; Paetzold, Johannes C; Ezhov, Ivan; Li, Hongwei; Pan, Jiazhen; Sharifzadeh, Sahand; Kaissis, Georgios; Tresp, Volker; Menze, Bjoern (2022). Relationformer: A Unified Framework for Image-to-Graph Generation. ArXiv.org 10202, Cornell University.

    وصف الملف: application/pdf

  10. 100
    تقرير

    المصدر: Eichhoff, Ossia M; Stoffel, Corinne Isabelle; Käsler, Jan; Briker, Luzia; Turko, Patrick; Karsai, Gergely; Zila, Nina; Paulitschke, Verena; Cheng, Phil F; Leitner, Alexander; Bileck, Andrea; Zamboni, Nicola; Irmisch, Anja; Balázs, Zsolt; Tastanova, Aizhan; Pascoal, Susana; Johansen, Pål; Wegmann, Rebekka; Mena, Julien; Othman, Alaa; Viswanathan, Vasanthi S; Wenzina, Judith; Aloia, Andrea; Saltari, Annalisa; Dzung, Andreas; Krauthammer, Michael; Schreiber, Stuart L; Hornemann, Thorsten; Distel, Martin; Snijder, Berend; Dummer, R; Levesque, Mitchell (2022). ROS induction as a strategy to target persister cancer cells with low metabolic activity in NRAS mutated melanoma. bioRxiv 512839, Cold Spring Harbor Laboratory.

    وصف الملف: application/pdf