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pro vyhledávání: '"Dillenseger A"'
Purpose: The purpose of this paper is to present a method for real-time 2D-3D non-rigid registration using a single fluoroscopic image. Such a method can find applications in surgery, interventional radiology and radiotherapy. By estimating a three-d
Externí odkaz:
http://arxiv.org/abs/2212.07692
Autor:
Marcelo Dias, Felix Dörr, Susett Garthof, Simona Schäfer, Julia Elmers, Louisa Schwed, Nicklas Linz, James Overell, Helen Hayward-Koennecke, Johannes Tröger, Alexandra König, Anja Dillenseger, Björn Tackenberg, Tjalf Ziemssen
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central nervous system demyelination and axonal degeneration. Fatigue affects a major portion of MS patients, significantly impairing their daily activities and quality o
Externí odkaz:
https://doaj.org/article/c94066b5a2194427b06557921cad982b
Autor:
Alvarez, Pablo, Chabanas, Matthieu, Sikora, Stéphane, Rouzé, Simon, Payan, Yohan, Dillenseger, Jean-Louis
Video-assisted thoracoscopic surgery (VATS) is a minimally invasive surgical technique for the diagnosis and treatment of early-stage lung cancer. During VATS, large lung deformation occurs as a result of a change of patient position and a pneumothor
Externí odkaz:
http://arxiv.org/abs/2202.14001
Publikováno v:
In Journal d'imagerie diagnostique et interventionnelle October 2024 7(5):226-237
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
Autor:
Wang, Song, He, Yuting, Kong, Youyong, Zhu, Xiaomei, Zhang, Shaobo, Shao, Pengfei, Dillenseger, Jean-Louis, Coatrieux, Jean-Louis, Li, Shuo, Yang, Guanyu
Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and treatment for kidney diseases. However, due to the unclear compartmen
Externí odkaz:
http://arxiv.org/abs/2108.06669
Autor:
Zores, Claire, Gibier, Corisande, Haumesser, Lucile, Meyer, Nicolas, Poirot, Stéphanie, Briot, Caroline, Langlet, Claire, Dillenseger, Laurence, Kuhn, Pierre
Publikováno v:
In Archives de pédiatrie July 2024 31(5):306-314
Autor:
Dillenseger, Jean-Philippe, Gillet, Romain, Louis, Matthias, Bach, Justin, Sieffert, Cléa, Meylheuc, Laurence, Palpacuer, Clément, Bierry, Guillaume, Garnon, Julien, Blum, Alain
Publikováno v:
In European Journal of Radiology April 2024 173
Publikováno v:
In Radiography January 2024 30(1):226-230
Autor:
He, Yuting, Li, Tiantian, Yang, Guanyu, Kong, Youyong, Chen, Yang, Shu, Huazhong, Coatrieux, Jean-Louis, Dillenseger, Jean-Louis, Li, Shuo
Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region constraints from segmentation) to bring mutual improvement in complex scen
Externí odkaz:
http://arxiv.org/abs/2008.00710
Autor:
Clément Dillenseger
Publikováno v:
Carnets de Géographes, Vol 17 (2023)
We usually know for whom, for what and why people work... but we never ask « for where » and « with where » we actually work. What are the upstream and downstream spaces that make our work possible ? After justifying the conceptual hypothesis of
Externí odkaz:
https://doaj.org/article/9d305f11e38142c58ebbdee042609dae