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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Boosting multiple sclerosis lesion segmentation through attention mechanism
Alessia Rondinella, Elena Crispino, Francesco Guarnera, et al.
Computers in Biology and Medicine (2023) Vol. 161, pp. 107021-107021
Open Access | Times Cited: 22

Showing 22 citing articles:

Compound attention embedded dual channel encoder-decoder for ms lesion segmentation from brain MRI
Palash Ghosal, Abhijit Chandra Roy, Rohit Agarwal, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review
Federico Spagnolo, Adrien Depeursinge, Sabine Schädelin, et al.
NeuroImage Clinical (2023) Vol. 39, pp. 103491-103491
Open Access | Times Cited: 8
Efficient segmentation of active and inactive plaques in FLAIR-images using DeepLabV3Plus SE with efficientnetb0 backbone in multiple sclerosis
Mahsa Naeeni Davarani, Ali Arian Darestani, Virginia Guillén, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Early Detection of Hip Periprosthetic Joint Infections Through CNN on Computed Tomography Images
Francesco Guarnera, Alessia Rondinella, Oliver Giudice, et al.
Lecture notes in computer science (2023), pp. 134-143
Closed Access | Times Cited: 4
Applications of Deep Learning to Magnetic Resonance Imaging (MRI)
Alba Meça
(2023), pp. 113-120
Closed Access | Times Cited: 3
Attention-Based Convolutional Neural Network for CT Scan COVID-19 Detection
Alessia Rondinella, Francesco Guarnera, Oliver Giudice, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 2
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models
Alessia Rondinella, Francesco Guarnera, Oliver Giudice, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 30, pp. 3733-3740
Closed Access | Times Cited: 2
Artificial intelligence automatic measurement technology of lumbosacral radiographic parameters
Shuo Yuan, Ruiyuan Chen, Xingyu Liu, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access
ANN Training Using Granulometric Data from Preprocessed MRI with Morphological Transformations to Detect Multiple Sclerosis Lesions
Edgar Rafael Ponce de Leon-Sanchez, Jorge Domingo Mendiola-Santibañez, Omar A. Domínguez-Ramírez, et al.
(2024)
Open Access
Deep Learning-based Methods for MS Lesion Segmentation: A Review
Hanene Ben Abdelali, Mouna Sahnoun, Salma Sakka, et al.
(2024), pp. 676-682
Closed Access
Training Artificial Neural Networks to Detect Multiple Sclerosis Lesions Using Granulometric Data from Preprocessed Magnetic Resonance Images with Morphological Transformations
Edgar Rafael Ponce de Leon-Sanchez, Jorge Domingo Mendiola-Santibañez, Omar A. Domínguez-Ramírez, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 145-145
Open Access
Automated multiple sclerosis progression rate computation of a patient from 2D FLAIR images with Rayleigh-Weibull-Fuzzy imaging and augmented morphing method
Orcan Alpar, Ondřej Soukup, Pavel Ryška, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112580-112580
Closed Access
Temporal Convolutional Network on Raman Shift for Human Osteoblast Cells Fingerprint Analysis1,2,3
Dario Morganti, Maria Giovanna Rizzo, Massimo Orazio Spata, et al.
Intelligence-Based Medicine (2024) Vol. 10, pp. 100183-100183
Open Access
A Systematic Review of Quantitative MRI Brain Analysis Studies in Multiple Sclerosis Disease
Andria Nicolaou, Christos P. Loizou, Marios Pantzaris, et al.
IEEE Access (2024) Vol. 12, pp. 162359-162391
Open Access
Continuing Discoveries in Immunogenetics and Computational Immunology: An Update
Giulia Russo, Elena Crispino, Esther M. Lafuente, et al.
Elsevier eBooks (2024)
Closed Access
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation—Methods and Results
Alessia Rondinella, Francesco Guarnera, Elena Crispino, et al.
Lecture notes in computer science (2024), pp. 1-16
Closed Access
Raum-Gans: A New Framework for Multiple Sclerosis Segmentation Based on Residual Attention U-Net and Modified Gans
Ahmed Alsayat, Ayman Mohamed Mostafa, Mahmoud Elmezain, et al.
(2024)
Closed Access
Novel imaging approaches in multiple sclerosis
Mauricio Farez
Elsevier eBooks (2024), pp. 35-86
Closed Access
Segmentation and evaluation of multiple sclerosis in flair modality MRI with ResUNet
M. Rajasekar, A. Mukil, R. Lakshamanan
AIP conference proceedings (2024) Vol. 3161, pp. 020314-020314
Closed Access
Deep Learning techniques to detect and analysis of multiple sclerosis through MRI: A systematic literature review
Priyanka Belwal, Surendra Singh
Computers in Biology and Medicine (2024) Vol. 185, pp. 109530-109530
Closed Access
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features
Sebastian Doerrich, Francesco Di Salvo, Christian Ledig
Lecture notes in computer science (2023), pp. 62-71
Closed Access
A Resnet Architecture for Evaluation of Multiple Sclerosis Lesions in Brain Using 3d MRI Images at 1.5 Tesla Versus 3 Tesla
Shoaib Arshad, Muhammad Arshad Javid, Saeed Ahmad Buzdar
(2023)
Closed Access
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