Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Hichem Frigui"'
Publikováno v:
Journal of Intelligent Information Systems. 59:45-69
Autor:
Wiem Safta, Hichem Frigui
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
Journal of Applied Remote Sensing. 16
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:7022-7034
We propose discrimination algorithms for buried threat detection (BTD) that exploit deep convolutional neural networks (CNNs) and recurrent neural networks (RNN) to analyze 2-D GPR B-scans in the down-track (DT) and cross-track (CT) directions as wel
Autor:
Amir A. Amini, Michael F. McNitt-Gray, Keyvan Farahani, Yoganand Balagurunathan, Paul F. Pinsky, Gustavo Perez, Laura Alexandra Daza, Sandy Napel, Jayashree Kalpathy-Cramer, M. Mehdi Farhangi, Lubomir M. Hadjiiski, Alireza Mehrtash, Wiem Safta, Ali Gholipour, Joseph Enguehard, Ehwa Yang, Ricard Delgado-Gonzalo, Aditya Bagari, Renkun Ni, Benjamin Veasey, Kiran Vaidhya, Tina Kapur, Jung Won Moon, Hichem Frigui, Laura Silvana Castillo, Gabriel Bernardino, Pablo Arbeláez, Dmitry B. Goldgof, Xue Feng, Andrew Beers
Publikováno v:
IEEE Trans Med Imaging
IEEE transactions on medical imaging, vol 40, iss 12
IEEE transactions on medical imaging, vol 40, iss 12
Lung cancer is by far the leading cause of cancer death in the US. Recent studies have demonstrated the effectiveness of screening using low dose CT (LDCT) in reducing lung cancer related mortality. While lung nodules are detected with a high rate of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934c16463d26ea1a8a0252428eb87f02
https://europepmc.org/articles/PMC9531053/
https://europepmc.org/articles/PMC9531053/
Autor:
Aria Pezeshk, Hichem Frigui, Albert Seow, Benjamin Veasey, Justin Broadhead, Michael Dahle, M. Mehdi Farhangi, Amir A. Amini
Publikováno v:
ISBI
While several datasets containing CT images of lung nodules exist, they do not contain definitive diagnoses and often rely on radiologists' visual assessment for malignancy rating. This is in spite of the fact that lung cancer is one of the top three
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Low dose CT screening has been shown to significantly reduce mortality rates due to lung cancer. To assist radiologists, CAD systems continue to be developed for automatically detecting, segmenting, and categorizing potentially malignant lung nodules
Autor:
Fadoua Khmaissia, Tom Pace, Mahendra K. Sunkara, Madhu Menon, Jacek B. Jasinski, Hichem Frigui, Alejandro Martinez Garcia
Publikováno v:
Computational Materials Science. 147:304-315
We present a novel approach to apply machine learning techniques to build a more robust prediction model for band-gap energies (BG-E) of chalcopyrites, a class of materials for energy applications in the fields of solar energy, photocatalysis, and th
Publikováno v:
IEEE Transactions on Medical Imaging. 36:2239-2249
SCoTS captures a sparse representation of shapes in an input image through a linear span of previously delineated shapes in a training repository. The model updates shape prior over level set iterations and captures variabilities in shapes by a spars
Autor:
Aria Pezeshk, M. Mehdi Farhangi, Berkman Sahiner, Amir A. Amini, Nicholas Petrick, Hichem Frigui
Publikováno v:
Medical physicsReferences. 47(5)
Purpose Multiview two-dimensional (2D) convolutional neural networks (CNNs) and three-dimensional (3D) CNNs have been successfully used for analyzing volumetric data in many state-of-the-art medical imaging applications. We propose an alternative mod