A Pretrained DenseNet Encoder for Brain Tumor Segmentation

Autor: Jean Stawiaski

Publikováno v: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030117252
BrainLes@MICCAI (2)

This article presents a convolutional neural network for the automatic segmentation of brain tumors in multimodal 3D MR images based on a U-net architecture. We evaluate the use of a densely connected convolutional network encoder (DenseNet) which wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6dd86fd753d950f3724cc097296808d8
https://doi.org/10.1007/978-3-030-11726-9_10

A DSA-based method using contrast-motion estimation for the assessment of the intra-aneurysmal flow changes induced by flow-diverter stents

Autor: Karl Lothard Schaller, Odile Bonnefous, Jean Stawiaski, Daniel Ruijters, Ana Paula Narata, Vitor Mendes Pereira, Rafik Ouared, Karl-Olof Lövblad, Philippe Bijlenga, Hugo J.W.L. Aerts, Olivier Brina

Publikováno v: American Journal of Neuroradiology, Vol. 34, No 4 (2013) pp. 808-15
AJNR Am J Neuroradiol

BACKGROUND AND PURPOSE: Flow-diverter stents modify intra-aneurysmal blood flow and induce the progressive thrombosis of intracranial aneurysms followed by stable vascular reconstruction. The aim of this study was to report a new method for the appra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0461aad6b1331f3de2f2386174cf6ea6
https://archive-ouverte.unige.ch/unige:33271

Simultaneous image segmentation and medial structure estimation: application to 2D and 3D vessel tree extraction

Autor: Sherif Makram-Ebeid, Guillaume Julien Joseph Pizaine, Jean Stawiaski

Publikováno v: Medical Imaging: Image Processing
Proceedings of the International Society for Optical Engineering (SPIE) Medical Imaging 2011
SPIE Medical Imaging 2011: Image Processing
SPIE Medical Imaging 2011: Image Processing, Feb 2011, Orlando, FL, United States. pp.79623D, ⟨10.1117/12.878126⟩

International audience; We propose a variational approach which combines automatic segmentation and medial structure extraction in a single computationally efficient algorithm. In this paper, we apply our approach to the analysis of vessels in 2D X-r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebba09fef25f773e69a1f1919fcb3cf8
https://doi.org/10.1117/12.878126

A stochastic evaluation of the contour strength

Autor: Fernand Meyer, Jean Stawiaski

Publikováno v: Pattern Recognition, Proceedings of the 32nd DAGM Symposium, Darmstadt, Germany, 2010
32nd Annual Symposium of the German Association for Pattern Recognition (DAGM 2010)
32nd Annual Symposium of the German Association for Pattern Recognition (DAGM 2010), Sep 2010, Darmstadt, Germany. pp.513-522, ⟨10.1007/978-3-642-15986-2_52⟩
Lecture Notes in Computer Science ISBN: 9783642159855
DAGM-Symposium

International audience; If one considers only local neighborhoods for segmenting an image, one gets contours whose strength is often poorly estimated. A method for reevaluating the contour strength by taking into account non local features is present

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87dbfc270ae36a8e7ad3ea44579b8d38
https://hal.archives-ouvertes.fr/hal-00614592/file/Stawiaski_DAGM2010.pdf

Minimum spanning tree adaptive image filtering

Autor: Jean Stawiaski, Fernand Meyer

Publikováno v: ICIP
16th IEEE International Conference on Image Processing (ICIP)
16th IEEE International Conference on Image Processing (ICIP), Nov 2009, Le Caire, Egypt. pp.2245-2248, ⟨10.1109/ICIP.2009.5413942⟩

ISBN : 978-1-4244-5653-6; International audience; The main focus of this paper is related to anisotropic morphological edge preserving filters. We present in this work neighborhood filters defined on the minimal spanning tree (MST) of an image (accor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d043428f2a19aff9302d3def670210da
https://doi.org/10.1109/icip.2009.5413942