Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Melanoma Detection by Means of Multiple Instance Learning
Annabella Astorino, Antonio Fuduli, Pierangelo Veltri, et al.
Interdisciplinary Sciences Computational Life Sciences (2019) Vol. 12, Iss. 1, pp. 24-31
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm
Hossam Magdy Balaha, Asmaa El-Sayed Hassan
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 815-853
Open Access | Times Cited: 80
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Yousef S. Alsahafi, Mohamed A. Kassem, Khalid M. Hosny
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 71
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Michele Avanzo, M. Porzio, Leda Lorenzon, et al.
Physica Medica (2021) Vol. 83, pp. 221-241
Closed Access | Times Cited: 66
DDCNN-F: double decker convolutional neural network 'F' feature fusion as a medical image classification framework
Nirmala Veeramani, Premaladha Jayaraman, R. Krishankumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images
Rocío del Amor, Laëtitia Launet, Adrián Colomer, et al.
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102197-102197
Closed Access | Times Cited: 40
Automated Detection of COVID-19 from Multimodal Imaging Data Using Optimized Convolutional Neural Network Model
S. Veluchamy, S Sudharson, R Annamalai, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2074-2088
Open Access | Times Cited: 6
Machine Learning Techniques for Automated Melanoma Detection
Eugenio Vocaturo, Diego Perna, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019), pp. 2310-2317
Closed Access | Times Cited: 37
Melanoma detection using color and texture features in computer vision systems
Antonio Fuduli, Pierangelo Veltri, Eugenio Vocaturo, et al.
Advances in Science Technology and Engineering Systems Journal (2019) Vol. 4, Iss. 5, pp. 16-22
Closed Access | Times Cited: 35
hybSVM: Bacterial colony optimization algorithm based SVM for malignant melanoma detection
Sümeyya İlkin, Tuğrul Hakan Gençtürk, Fidan Kaya Gülağız, et al.
Engineering Science and Technology an International Journal (2021) Vol. 24, Iss. 5, pp. 1059-1071
Open Access | Times Cited: 27
A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning
Matteo Avolio, Antonio Fuduli
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 8, pp. 3566-3577
Closed Access | Times Cited: 31
Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection
Mario Manzo, Simone Pellino
Journal of Imaging (2020) Vol. 6, Iss. 12, pp. 129-129
Open Access | Times Cited: 27
A computer aided system for skin cancer detection based on Developed version of the Archimedes Optimization algorithm
Huan Ding, Qirui Huang, Ahmed Alkhayyat
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105870-105870
Closed Access | Times Cited: 10
On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning
Eugenio Vocaturo, Ester Zumpano, Pierangelo Veltri
Lecture notes in computer science (2019), pp. 374-382
Closed Access | Times Cited: 26
Spherical separation with infinitely far center
Annabella Astorino, Antonio Fuduli
Soft Computing (2020) Vol. 24, Iss. 23, pp. 17751-17759
Closed Access | Times Cited: 25
Dangerousness of dysplastic nevi: a Multiple Instance Learning Solution for Early Diagnosis
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2019), pp. 2318-2323
Closed Access | Times Cited: 25
A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers
Yueying Wang, Shuai Liu, Zhao Wang, et al.
Medicina (2021) Vol. 57, Iss. 2, pp. 99-99
Open Access | Times Cited: 19
An optimal method for melanoma detection from dermoscopy images using reinforcement learning and support vector machine optimized by enhanced fish migration optimization algorithm
Qianqian Liu, Hiroto Kawashima, Asad Rezaei sofla
Heliyon (2023) Vol. 9, Iss. 10, pp. e21118-e21118
Open Access | Times Cited: 7
2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases
Jinling Zhu, Li Zou, Xin Xie, et al.
European Journal of Radiology (2024) Vol. 180, pp. 111712-111712
Closed Access | Times Cited: 2
Viral pneumonia images classification by Multiple Instance Learning: preliminary results
Ester Zumpano, Antonio Fuduli, Eugenio Vocaturo, et al.
(2021), pp. 292-296
Closed Access | Times Cited: 16
Labeling confidence for uncertainty-aware histology image classification
Rocío del Amor, Julio Silva-Rodríguez, Valery Naranjo
Computerized Medical Imaging and Graphics (2023) Vol. 107, pp. 102231-102231
Open Access | Times Cited: 6
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, et al.
Artificial Intelligence in Medicine (2023) Vol. 145, pp. 102686-102686
Closed Access | Times Cited: 6
Iterative magnitude pruning-based light-version of AlexNet for skin cancer classification
Sara Medhat, Hala Abdel-Galil, Amal Elsayed Aboutabl, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 3, pp. 1413-1428
Open Access | Times Cited: 5
DC-SMIL
Eugenio Vocaturo, Ester Zumpano, Giovanni Giallombardo, et al.
(2020), pp. 1-9
Closed Access | Times Cited: 14
Novel approach for melanoma detection through iterative deep vector network
R. Váni, J. C. Kavitha, D Subitha
Journal of Ambient Intelligence and Humanized Computing (2021)
Closed Access | Times Cited: 12
Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation
Yilin Chen, Xueyu Liu, Hao Fang, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76529-76549
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top