Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach

Autor: Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil Nourmohammadi Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran Raja, Gourav Gupta, Georgios Zampoukis, Lazaros Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc

Publikováno v: IEEE Transactions on Information Forensics and Security. 18:190-205

Bias and fairness of biometric algorithms have been key topics of research in recent years, mainly due to the societal, legal and ethical implications of potentially unfair decisions made by automated decision-making models. A considerable amount of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed1ded32b49539d4e98523b34685668
https://doi.org/10.1109/tifs.2022.3216468

Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality

Autor: Biying Fu, Naser Damer

Publikováno v: IET Biometrics. 11:359-382

Morphing attacks are a form of presentation attacks that gathered increasing attention in recent years. A morphed image can be successfully verified to multiple identities. This operation, therefore, poses serious security issues related to the abili

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7508b44e58836ffef24f7e144268fda
https://doi.org/10.1049/bme2.12094

Diagnostic accuracy of quantitative dual-energy CT-based volumetric bone mineral density assessment for the prediction of osteoporosis-associated fractures

Autor: Tatjana Gruber-Rouh, Julian L. Wichmann, Leona S. Alizadeh, Lukas Lenga, Leon D. Gruenewald, Christoph Mader, Tommaso D'Angelo, Christian Booz, Silvio Mazziotti, Vitali Koch, Katrin Eichler, Thomas J. Vogl, Simon S. Martin, Stefan Wesarg, Ibrahim Yel, Nicole A Huizinga, Moritz H. Albrecht

Publikováno v: Gruenewald, L D, Koch, V, Martin, S S, Yel, I, Eichler, K, Gruber-Rouh, T, Lenga, L, Wichmann, J L, Alizadeh, L S, Albrecht, M H, Mader, C, Huizinga, N A, D’Angelo, T, Mazziotti, S, Wesarg, S, Vogl, T J & Booz, C 2022, ' Diagnostic accuracy of quantitative dual-energy CT-based volumetric bone mineral density assessment for the prediction of osteoporosis-associated fractures ', European Radiology, vol. 32, no. 5, pp. 3076-3084 . https://doi.org/10.1007/s00330-021-08323-9
European Radiology, 32(5), 3076-3084. Springer Verlag

Objectives To evaluate the predictive value of volumetric bone mineral density (BMD) assessment of the lumbar spine derived from phantomless dual-energy CT (DECT)-based volumetric material decomposition as an indicator for the 2-year occurrence risk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c5c5a66e58de53ac0b0c9e64ae9dc16
https://doi.org/10.1007/s00330-021-08323-9

Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections

Autor: Gillert, Alexander, Resente, Giulia, Anadon-Rosell, Alba, Wilmking, Martin, Lukas, Uwe Freiherr Von

We address the problem of detecting tree rings in microscopy images of shrub cross sections. This can be regarded as a special case of the instance segmentation task with several unique challenges such as the concentric circular ring shape of the obj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca57602b01f59184b2b1733addabfe8

Combining seeded region growing and k-nearest neighbours for the segmentation of routinely acquired spatio-temporal image data

Autor: Zerweck, Lukas, Wesarg, Stefan, Kohlhammer, Jörn, Köhm, Michaela

Purpose: The acquisition conditions of medical imaging are often precisely defined, leading to a high homogeneity among different data sets. Nonetheless, outliers or artefacts still appear and need to be reliably detected to ensure a reliable diagnos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45d773560ae145a0a43a227dda86e0db