Výsledky vyhledávání - "Dillenseger, Jean Louis"

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CNN-based real-time 2D-3D deformable registration from a single X-ray projection

Autor: Lecomte, François, Dillenseger, Jean-Louis, Cotin, Stéphane

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

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Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery

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

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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

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Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

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

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Sub-pixel matching method for low-resolution thermal stereo images

Autor: Zoetgnande, Yannick Wend Kuni, Cormier, Geoffroy, Fougères, Alain-Jérôme, Dillenseger, Jean-Louis

In the context of a localization and tracking application, we developed a stereo vision system based on cheap low-resolution 80x60 pixels thermal cameras. We proposed a threefold sub-pixel stereo matching framework (called ST for Subpixel Thermal): 1

Externí odkaz: http://arxiv.org/abs/1912.00138

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