Confidence-Aware Brain Tumor Segmentation under Missing MRI Modalities

Συγγραφείς: Hafeezullah, Nainsee, Tayyaba, Khan, Adil

Πηγή: 2026 5th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) Computing, Mathematics and Engineering Technologies (iCoMET), 2026 5th International Conference on. :1-6 May, 2026

Relation: 2026 5th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)

Swin UNETR: A Novel Model of 3D Tumor Semantic Segmentation Using Vision Transformers

Συγγραφείς: Mude, Nagarjuna Naik, M, Lakshmanan, Saxena, Sugandha, R, Sriramkumar, Mithaguru, R, Rakshita

Πηγή: 2026 International Conference on Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp) Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp), 2026 International Conference on. :19-24 Mar, 2026

Relation: 2026 International Conference on Next-Gen Quantum and Advanced Computing: Algorithms, Security, and Beyond (NQComp)

Comparative Evaluation of Structural, Diffusion Tensor, and Perfusion MRI for MGMT Methylation Prediction in Glioblastoma Using Deep Learning Approach

Συγγραφείς: Sarker Lifat, Md. Ashik, Shahariar Sarkar, Md., Siddika, Ayesha, Sharif, Shekh Tanjil

Πηγή: 2024 27th International Conference on Computer and Information Technology (ICCIT) Computer and Information Technology (ICCIT), 2024 27th International Conference on. :2387-2391 Dec, 2024

Relation: 2024 27th International Conference on Computer and Information Technology (ICCIT)

Brain Malignant Tumor Classification Using MRI Scans and Optimized CNNs

Συγγραφείς: Cohen, Miri Weiss

Πηγή: 2024 12th International Conference on Bioinformatics and Computational Biology (ICBCB) Bioinformatics and Computational Biology (ICBCB), 2024 12th International Conference on. :80-87 Mar, 2024

Relation: 2024 12th International Conference on Bioinformatics and Computational Biology (ICBCB)

A multi-sequence MRI integration framework using SwinUNETR-v2 for multiple sclerosis lesion segmentation

Συγγραφείς: Thabet, Rezq Muhammed^{Aff1, IDs12911026035519_cor1}, Shedeed, Howida A.^Aff1, Al-Berry, Maryam^Aff1, Khattab, Dina^Aff1

Πηγή: BMC Medical Informatics and Decision Making. 26(1)

Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System With Multi-Modal MRI Texture Analysis

Συγγραφείς: Azam, M.T., Balaha, H.M., Hassan, A., Alksas, A., Shehata, M., El-Morsy, A., Awad, B.I., Alghamdi, N.S., Ghazal, M., El-Baz, A.

Πηγή: IEEE Access Access, IEEE. 12:127846-127861 2024

Deep learning guided by an ontology for medical images classification using a multimodal fusion

Συγγραφείς: Yahyaoui, Hela, Ghazouani, Fethi, Farah, Imed Riadh

Πηγή: 2021 International Congress of Advanced Technology and Engineering (ICOTEN) Advanced Technology and Engineering (ICOTEN), 2021 International Congress of. :1-6 Jul, 2021

Relation: 2021 International Congress of Advanced Technology and Engineering (ICOTEN)

Co-Registered Volumetric MRI-Based Synthetic Lesion Transplantation for Multiple Sclerosis Classification Using Cutoff Augmentation

Συγγραφείς: Rezq Thabet, Dina Khattab, Maryam ElBery, howida shedeed

Πηγή: International Journal of Intelligent Computing and Information Sciences, Vol 25, Iss 3, Pp 41-54 (2025)

Θεματικοί όροι: Multiple Sclerosis, MRI Modalities, Cutoff Augmentation, CAD tools, Co-Registration, Electronic computers. Computer science, QA75.5-76.95

Περιγραφή αρχείου: electronic resource

Relation: https://ijicis.journals.ekb.eg/article_454978_c4a2e388d7b81428a1dd17f6710e94c0.pdf; https://doaj.org/toc/1687-109X; https://doaj.org/toc/2535-1710

Σύνδεσμος πρόσβασης: https://doaj.org/article/f2e1e329366243ed86573eb293e3463e

Optimizing U-Net Architecture Using Differential Evolution for Brain Tumor Segmentation

Συγγραφείς: Saifullah, Shoffan^{Aff14, Aff15}, Dreżewski, Rafał^Aff14

Συνεισφορές: Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Lees, Michael H., editor^Aff7, Cai, Wentong, editor^Aff8, Cheong, Siew Ann, editor^Aff9, Su, Yi, editor^Aff10, Abramson, David, editor^Aff11, Dongarra, Jack J., editor^Aff12, Sloot, Peter M. A., editor^Aff13

Πηγή: Computational Science – ICCS 2025 : 25th International Conference, Singapore, Singapore, July 7–9, 2025, Proceedings, Part IV. 15906:403-411

A Modified Method for Brain MRI Segmentation Using Dempster-Shafer Theory

Συγγραφείς: Lima, Salma Akter, Islam, Md. Rabiul

Πηγή: 2019 22nd International Conference on Computer and Information Technology (ICCIT) Computer and Information Technology (ICCIT), 2019 22nd International Conference on. :1-6 Dec, 2019

Relation: 2019 22nd International Conference on Computer and Information Technology (ICCIT)

Multiple sclerosis classification and segmentation in neuroimaging MRI using different machine and deep learning techniques: a review

Συγγραφείς: Thabet, Rezq Muhammed^{Aff1, IDs10462025111438_cor1}, Shedeed, Howida A.^Aff1, Al-Berry, Maryam^Aff1, Khattab, Dina^Aff1

Πηγή: Artificial Intelligence Review: An International Science and Engineering Journal. 58(8)

Comparison of Different Image Processing Methods with Spatial Information in Clinical Brain MRI

Συγγραφείς: Isa, Iza Sazanita, Saad, Mohamad Khairul Faizi Mat, Kadir, Muhammad Haris Khusairi Mohmad, Afandi, Ahmad Afifi Ahmad, Karim, Noor Khairiah A., Sulaiman, Siti Noraini

Πηγή: Proceedings of the 2020 12th International Conference on Bioinformatics and Biomedical Technology. :86-93

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3405758.3405786

Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI

Συγγραφείς: Rahman, Ashiqur ^a, Chowdhury, Muhammad E.H. ^{b, ⁎}, Ibne Wadud, Md Sharjis ^a, Sarmun, Rusab ^c, Mushtak, Adam ^d, Zoghoul, Sohaib Bassam ^d, Al-Hashimi, Israa ^d

Πηγή: In Biomedical Signal Processing and Control July 2025 105

A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology

Συγγραφείς: Sahnoun, Mouna, Kallel, Fathi, Dammak, Mariem, Mhiri, Chokri, Ben Mahfoudh, Kheireddine, Ben Hamida, Ahmed

Πηγή: 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Advanced Technologies for Signal and Image Processing (ATSIP), 2018 4th International Conference on. :1-7 Mar, 2018

Relation: 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

Gradual modality dropout for segmenting ischemic stroke lesions in an unseen center with missing modalities

Συγγραφείς: Vargas Ibarra, Sofia, Vigneron, Vincent, Maaref, Hichem, Garcia-Salicetti, Sonia, Andreia, Faria

Συνεισφορές: Garcia-Salicetti, Sonia

Θεματικοί όροι: lesion, segmentation, stroke, MRI modalities, missing modalities, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://univ-evry.hal.science/hal-05185389v1

Segmenting Multi-Sclerosis Lesions: An Enhanced Approach using an Optimized U-Net

Συγγραφείς: Gindin, Michael, Pascovich, Hila, Cohen, Miri Weiss

Πηγή: In Procedia Computer Science 2024 246:2225-2234

SCIENTIFIC WEBINAR MRI IMAGE OF THE SPINE IN HNP CASES, AND PATIENT SAFETY IN MRI MODALITY ; WEBINAR ILMIAH GAMBARAN MRI TULANG BELAKANG PADA KASUS HNP, DAN KESELAMATAN PASIEN PADA MODALITAS MRI

Συγγραφείς: Annisa, Aulia, Bisra, Marido, Indrapuri, R. Sri Ayu, Mismar, Devi Putri

Πηγή: Awal Bros Journal of Community Development; Vol. 6 No. 1 (2025): Awal Bros Journal of Community Development; 1 - 4 ; Awal Bros Journal of Community Development; Vol 6 No 1 (2025): Awal Bros Journal of Community Development; 1 - 4 ; 2746-0142 ; 10.54973/abjcd.v6i1

Θεματικοί όροι: Modalitas MRI, Tulang Belakang, HNP, Radiograf, Keselamatan Pasien, MRI Modalities, Spine, Radiograph, Patient Safety

Περιγραφή αρχείου: application/pdf

Relation: https://journal.univawalbros.ac.id/index.php/abjcd/article/view/576/329; https://journal.univawalbros.ac.id/index.php/abjcd/article/view/576

Διαθεσιμότητα: https://journal.univawalbros.ac.id/index.php/abjcd/article/view/576

Dilated Convolutions Based 3D U-Net for Multi-modal Brain Image Segmentation

Συγγραφείς: Kemassi, Ouissam^Aff12, Maamri, Oussama^Aff12, Bouanane, Khadra^Aff12, Kriker, Ouissal^Aff12

Συνεισφορές: Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Lejdel, Brahim, editor^Aff9, Clementini, Eliseo, editor^Aff10, Alarabi, Louai, editor^Aff11

Πηγή: Artificial Intelligence and Its Applications : Proceeding of the 2nd International Conference on Artificial Intelligence and Its Applications (2021). 413:428-436

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

Συγγραφείς: Ranjbarzadeh, Ramin ^{a, ∗}, Caputo, Annalina ^a, Tirkolaee, Erfan Babaee ^{b, ∗∗}, Jafarzadeh Ghoushchi, Saeid ^c, Bendechache, Malika ^d

Πηγή: In Computers in Biology and Medicine January 2023 152

A recurrent network for segmenting the thrombus on brain MRI in patients with hyper-acute ischemic stroke

Συγγραφείς: Vargas Ibarra, Sofia, Vigneron, Vincent, Maaref, Hichem, Kobold, Jonathan, Garcia-Salicetti, Sonia, Chausson, Nicolas, Smadja, Didier, L'Hermitte, Yann

Συνεισφορές: Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, Institut Polytechnique de Paris (IP Paris), Département Electronique et Physique (TSP - EPH), Télécom SudParis (TSP), Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris), ARMEDIA (ARMEDIA-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Télécom SudParis (TSP), Centre Hospitalier Sud Francilien - Centre Hospitalier d'Evry (CHSF), Medical Imaging with Deep Learning Foundation

Πηγή: MIDL 2024: 7th International Conference on Medical Imaging with Deep Learning ; 7th International Conference on Medical Imaging with Deep Learning (MIDL 2024) ; https://univ-evry.hal.science/hal-04939296 ; 7th International Conference on Medical Imaging with Deep Learning (MIDL 2024), Medical Imaging with Deep Learning Foundation, Jul 2024, Paris, France. pp.657--671 ; https://2024.midl.io/scientific-program

Θεματικοί όροι: deep learning, hyperacute stroke, lesion, MRI modalities, spatial recurrence, thrombus, brain imagery, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Θέμα γεωγραφικό: Paris, France

Διαθεσιμότητα: https://univ-evry.hal.science/hal-04939296
https://univ-evry.hal.science/hal-04939296v1/document
https://univ-evry.hal.science/hal-04939296v1/file/Midl_2024_publi%C3%A9.pdf