Blar i SINTEF Open på forfatter "Bouget, David Nicolas Jean-Mar"

Viser treff 1-4 av 4

    • H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images 

      Pedersen, André; Smistad, Erik; Rise, Tor Vikan; Dale, Vibeke Grotnes; Pettersen, Henrik P Sahlin; Nordmo, Tor-Arne Schmidt; Bouget, David Nicolas Jean-Mar; Reinertsen, Ingerid; Valla, Marit (Peer reviewed; Journal article, 2022)
      Over the past decades, histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic methods for evaluation ...

    • Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation 

      Perez de Frutos, Javier; Pedersen, Andre; Pelanis, Egidijus; Bouget, David Nicolas Jean-Mar; Survarachakan, Shanmugapriya; Langø, Thomas; Elle, Ole Jakob; Lindseth, Frank (Peer reviewed; Journal article, 2023)
      Purpose: This study aims to explore training strategies to improve convolutional neural network-based image-to-image deformable registration for abdominal imaging. Methods: Different training strategies, loss functions, ...

    • Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding 

      Bouget, David Nicolas Jean-Mar; Pedersen, André; Vanel, Johanna; Leira, Håkon Olav; Langø, Thomas (Peer reviewed; Journal article, 2022)
      As lung cancer evolves, the presence of potentially malignant lymph nodes must be assessed to properly estimate disease progression and select the best treatment strategy. A method for accurate and automatic segmentation ...

    • Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting 

      Bouget, David Nicolas Jean-Mar; Pedersen, André; Jakola, Asgeir S.; Kavouridis, Vasileios; Emblem, Kyrre Eeg; Eijgelaar, Roelant S; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre A; Rossi, Marco; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Hamer, Philip C De Witt; Solheim, Ole; Reinertsen, Ingerid (Peer reviewed; Journal article, 2022)
      For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods ...