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Jean-Louis Dillenseger
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2020 – today
- 2024
- [c35]Wiley Tam, Jean-Louis Dillenseger
, Paul S. Babyn, Javad Alirezaie:
Rib Segmentation in Surgical Images for Video-Assisted Thoracoscopic Surgery. CBMS 2024: 450-455 - [c34]François Lecomte, Pablo Alvarez, Stéphane Cotin, Jean-Louis Dillenseger:
Beyond respiratory models: a physics-enhanced synthetic data generation method for 2D-3D deformable registration. CVPR Workshops 2024: 2413-2421 - [c33]Rebeca M. A. Coércio, Alexandre R. Farias, Jean-Louis Dillenseger
Camera Calibration Algorithm for Lung Nodule Detection in Video-Assisted Thoracoscopic Surgery. ISBI 2024: 1-5 - 2023
- [j23]Pablo Alvarez
Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery. IEEE Trans. Biomed. Eng. 70(3): 931-940 (2023) - [c32]Valentin Boussot
Statistical model for the prediction of lung deformation during video-assisted thoracoscopic surgery. Medical Imaging: Image-Guided Procedures 2023 - 2022
- [c31]Yannick Zoetgnandé, Jean-Louis Dillenseger
Domain Generalization for Activity Recognition: Learn from Visible, Infer with Thermal. ICPRAM 2022: 722-729 - [c30]Batoul Dahman, F. Bessier, Jean-Louis Dillenseger
Ultrasound to CT rigid image registration using CNN for the HIFU treatment of heart arrhythmias. Medical Imaging: Image-Guided Procedures 2022 - [i4]François Lecomte
CNN-based real-time 2D-3D deformable registration from a single X-ray projection. CoRR abs/2212.07692 (2022) - 2021
- [j22]Pablo Alvarez
A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery. Medical Image Anal. 69: 101983 (2021) - [j21]Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger
Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Anal. 71: 102055 (2021) - [c29]Soumaya Msaad, Jean-Louis Dillenseger
Detection of changes in the behaviour of the elderly person. EMBC 2021: 6995-6998 - [c28]Soumaya Msaad, Jean-Louis Dillenseger
Interest of the minimum edit distance to detect behaviour change of the elderly person. EMBC 2021: 7377-7380 - [c27]Song Wang
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images. MICCAI (2) 2021: 592-602 - [i3]Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images. CoRR abs/2108.06669 (2021) - 2020
- [j20]Guanyu Yang, Chuanxia Wang, Jian Yang, Yang Chen, Lijun Tang, Pengfei Shao, Jean-Louis Dillenseger
Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images. BMC Medical Imaging 20(1): 37 (2020) - [j19]Jun Shen
Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study. Int. J. Comput. Assist. Radiol. Surg. 15(3): 531-543 (2020) - [j18]Hui Bi
Fast and accurate segmentation method of active shape model with Rayleigh mixture model clustering for prostate ultrasound images. Comput. Methods Programs Biomed. 184: 105097 (2020) - [j17]Imen Halima, Jean-Marc Laferté, Geoffroy Cormier, Alain-Jérôme Fougères
Depth and thermal information fusion for head tracking using particle filter in a fall detection context. Integr. Comput. Aided Eng. 27(2): 195-208 (2020) - [j16]Yuting He, Guanyu Yang, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Anal. 63: 101722 (2020) - [j15]Chen Zhang
HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning. IEEE Trans. Medical Imaging 39(11): 3309-3320 (2020) - [c26]Yuting He
Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images. ECCV (18) 2020: 770-786 - [c25]Batoul Dahman, Jean-Louis Dillenseger
Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy. EMBC 2020: 2011-2014 - [i2]Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images. CoRR abs/2008.00710 (2020)
2010 – 2019
- 2019
- [c24]Batoul Dahman, Jean-Louis Dillenseger
High-Intensity Focused Ultrasound (HIFU) Therapy Guidance System by Image-Based Registration for Patients With Cardiac Fibrillation. CinC 2019: 1-4 - [c23]Tan Pan, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Chuanxia Wang, Ziwei Lu, Zhongwen Zhou, Youyong Kong, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger
A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images. ICIP 2019: 809-813 - [c22]Ziwei Lu, Jean-Louis Coatrieux, Guanyu Yang, Tiancong Hua, Liyu Hu, Youyong Kong, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger
Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network. ICIP 2019: 2174-2178 - [c21]Yannick Wend Kuni Zoetgnandé, Jean-Louis Dillenseger
Edge focused super-resolution of thermal images. IJCNN 2019: 1-8 - [c20]Pablo Alvarez
Biphasic Model Of Lung Deformations For Video-Assisted Thoracoscopic Surgery (VATS). ISBI 2019: 1367-1371 - [c19]Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy. MICCAI (6) 2019: 139-147 - [i1]Yannick Wend Kuni Zoetgnandé, Geoffroy Cormier, Alain-Jérôme Fougères, Jean-Louis Dillenseger:
Sub-pixel matching method for low-resolution thermal stereo images. CoRR abs/1912.00138 (2019) - 2018
- [j14]Hui Bi, Hui Tang
Accurate image segmentation using Gaussian mixture model with saliency map. Pattern Anal. Appl. 21(3): 869-878 (2018) - [c18]Jun Shen, Nabil Zemiti, Jean-Louis Dillenseger
Fast And Simple Automatic 3D Ultrasound Probe Calibration Based On 3D Printed Phantom And An Untracked Marker. EMBC 2018: 878-882 - [c17]Yannick Wend Kuni Zoetgnandé, Alain-Jérôme Fougères
Robust low resolution thermal stereo camera calibration. ICMV 2018: 110411D - [c16]Guanyu Yang, Guoqing Li, Tan Pan, Youyong Kong, Jiasong Wu, Huazhong Shu, Limin Luo, Jean-Louis Dillenseger
Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module. ICPR 2018: 3790-3795 - [c15]Pablo Alvarez
Lung deformation between preoperative CT and intraoperative CBCT for thoracoscopic surgery: a case study. Medical Imaging: Image-Guided Procedures 2018: 105761D - 2017
- [j13]Hui Bi, Hui Tang
Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model. IET Image Process. 11(12): 1188-1196 (2017) - [c14]Guanyu Yang, Chenchen Sun, Yang Chen, Lijun Tang, Huazhong Shu, Jean-Louis Dillenseger
Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image Registration. STACOM@MICCAI 2017: 250-257 - 2015
- [j12]Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - 2014
- [j11]Ke Wu, Huazhong Shu, Jean-Louis Dillenseger
Region and boundary feature estimation on ultrasound images using moment invariants. Comput. Methods Programs Biomed. 113(2): 446-455 (2014) - [c13]Samira Ghadrdan, Javad Alirezaie, Jean-Louis Dillenseger
Low-dose computed tomography image denoising based on joint wavelet and sparse representation. EMBC 2014: 3325-3328 - [c12]Ke Wu, Carole Garnier, Javad Alirezaie, Jean-Louis Dillenseger
Adaptation and evaluation of the multiple organs OSD for T2 MRI prostate segmentation. EMBC 2014: 4687-4690 - 2013
- [c11]Zulma L. Sandoval, Jean-Louis Dillenseger:
Evaluation of Computed Tomography to Ultrasound 2D Image Registration for Atrial Fibrillation Treatment. CinC 2013: 245-248 - [c10]Zulma L. Sandoval, Julián Betancur, Jean-Louis Dillenseger
Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins. STACOM 2013: 24-30 - 2012
- [j10]Beijing Chen, Huazhong Shu, Hui Zhang, Gang Chen, Christine Toumoulin, Jean-Louis Dillenseger
Quaternion Zernike moments and their invariants for color image analysis and object recognition. Signal Process. 92(2): 308-318 (2012) - [c9]Zhenya Yang, Jean-Louis Dillenseger
Phase estimation for a phased array therapeutic interstitial ultrasound probe. EMBC 2012: 472-475 - 2011
- [c8]Carole Garnier, Ke Wu, Jean-Louis Dillenseger
Bladder segmentation in MRI images using active region growing model. EMBC 2011: 5702-5705 - [c7]Tingting Gu, Hui Tang
GPU accelerated high intensity ultrasound acoustical power computation. ISBI 2011: 17-20 - 2010
- [j9]Jean-Louis Dillenseger
Fast FFT-based bioheat transfer equation computation. Comput. Biol. Medicine 40(2): 119-123 (2010) - [j8]Simon Esneault, Cyril Lafon
Liver Vessels Segmentation Using a Hybrid Geometrical Moments/Graph Cuts Method. IEEE Trans. Biomed. Eng. 57(2): 276-283 (2010)
2000 – 2009
- 2009
- [j7]Jean-Louis Dillenseger
Fast simulation of ultrasound images from a CT volume. Comput. Biol. Medicine 39(2): 180-186 (2009) - [j6]Hui Tang
A vectorial image soft segmentation method based on neighborhood weighted Gaussian mixture model. Comput. Medical Imaging Graph. 33(8): 644-650 (2009) - 2008
- [j5]Carole Garnier, Cyril Lafon
3-D Modeling of the Thermal Coagulation Necrosis Induced by an Interstitial Ultrasonic Transducer. IEEE Trans. Biomed. Eng. 55(2): 833-837 (2008) - [c6]Jean-Louis Dillenseger
Acoustical power computation acceleration techniques for the planning of ultrasound therapy. ISBI 2008: 1203-1206 - 2007
- [j4]Hui Tang
Moment-based metrics for mesh simplification. Comput. Graph. 31(5): 710-718 (2007) - 2006
- [j3]Jean-Louis Dillenseger
Spherical Harmonics Based Intrasubject 3-D Kidney Modeling/Registration Technique Applied on Partial Information. IEEE Trans. Biomed. Eng. 53(11): 2185-2193 (2006) - 2005
- [c5]Beatriz Sousa Santos
Quality evaluation in medical visualization: some issues and a taxonomy of methods. Medical Imaging: Image-Guided Procedures 2005 - 2003
- [b1]Jean-Louis Dillenseger:
Visualisation Scientifique en médecine.Application à la visualisation de l'anatomie et à la visualisation en épileptologie clinique. (Scientific visualization in medicine.Application to the visualization of the anatomy and visualization in clinical epileptology). University of Rennes 1, France, 2003 - 2002
- [j2]Jean-Marc Schleich, Claude Almange, Jean-Louis Dillenseger
Understanding Normal Cardiac Development Using Animated Models. IEEE Computer Graphics and Applications 22(1): 14-19 (2002) - 2001
- [j1]Christine Toumoulin, Cezary Boldak
Fast detection and characterization of vessels in very large 3-D data sets using geometrical moments. IEEE Trans. Biomed. Eng. 48(5): 604-606 (2001)
1990 – 1999
- 1998
- [c4]Jean-Louis Dillenseger, Beatriz Sousa Santos:
Comparison between two Three-Dimensional Edge Operators applied in a 3D Navigation Approach. Eurographics (Short Presentations) 1998 - [c3]Jean-Louis Dillenseger, Fabrice Wendling:
Visualization of Dynamic Processes Recorded during Epileptic Seizures. Eurographics (Short Presentations) 1998 - 1996
- [c2]Cristina Rocha, Jean-Louis Dillenseger
Multi-Array EEG Signals Mapped with Three Dimensional Images for Clinical Epilepsy Studies. VBC 1996: 467-476 - 1994
- [c1]Christian Roux, Jean-Louis Coatrieux, Jean-Louis Dillenseger
Visualization in Medicine: VIRTUAL Reality or ACTUAL Reality? (Panel). IEEE Visualization 1994: 396-399
Coauthor Index
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last updated on 2024-10-11 17:32 CEST by the dblp team
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