Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data.

Autor: Sobiecki, André¹ (AUTHOR) sobieckiandre@gmail.com, Hadjiiski, Lubomir M.¹ (AUTHOR) chanhp@umich.edu, Chan, Heang-Ping¹ (AUTHOR) chuan@med.umich.edu, Samala, Ravi K.² (AUTHOR) ravi.samala@fda.hhs.gov, Zhou, Chuan¹ (AUTHOR) prachia@med.umich.edu, Stojanovska, Jadranka³ (AUTHOR) jadranka73@icloud.com, Agarwal, Prachi P.¹ (AUTHOR)

Publikováno v: Diagnostics (2075-4418). Feb2024, Vol. 14 Issue 3, p341. 19p.

Automated digital hair removal by threshold decomposition and morphological analysis

Autor: Koehoorn, Joost, Sobiecki, André C., Boda, Daniel, Diaconeasa, Adriana, Doshi, Susan, Paisey, Stephen, Jalba, Andrei, Telea, Alexandru, Najman, Laurent, Talbot, Hugues, Benediktsson, Jon Atli, Chanussot, Jocelyn

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319187198
ISMM
Mathematical Morphology and Its Applications to Signal and Image Processing: 12th International Symposium
Mathematical Morphology and its Applications to Signal and Image Processing-12th International Symposium, ISMM 2015, Proceedings, 15-26
STARTPAGE=15;ENDPAGE=26;TITLE=Mathematical Morphology and its Applications to Signal and Image Processing-12th International Symposium, ISMM 2015, Proceedings

We propose a method for digital hair removal from dermoscopic images, based on a threshold-set model. For every threshold, we adapt a recent gap-detection algorithm to find hairs, and merge results in a single mask image. We find hairs in this mask b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df5c44ce044eae8538518f5649e7378d
https://doi.org/10.1007/978-3-319-18720-4_2

Qualitative Comparison of Contraction-Based Curve Skeletonization Methods

Autor: Sobiecki, André, Yasan, Haluk C., Jalba, Andrei C., Telea, Alexandru C.

Publikováno v: EPRINTS-BOOK-TITLE

In recent years, many new methods have been proposed for extracting curve skeletons of 3D shapes, using a mesh-contraction principle. However, it is still unclear how these methods perform with respect to each other, and with respect to earlier voxel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::a51c32162ffc71a3f08422f3af7710c3
https://research.rug.nl/en/publications/42ea4c7b-a439-4a10-b73f-3d57f92db592

Segmentação e restauração digital de artefatos em imagens frontais de face

Autor: Sobiecki, André

Publikováno v: Biblioteca Digital de Teses e Dissertações da FEI
Centro Universitário da Fundação Educacional Inaciana (FEI)
instacron:FEI

Hoje em dia, é uma realidade no mundo inteiro a existência de aplicações que utilizam a face como informação relevante para identificação de pessoas. No entanto, para um sistema biom´etrico reconhecer automaticamente imagens em documentos de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::180f44e453db3643c26404aa00094d83
https://repositorio.fei.edu.br/handle/FEI/413