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:
A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images
Laura Boldú, Anna Merino, Andrea Acevedo, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 105999-105999
Closed Access | Times Cited: 97
Laura Boldú, Anna Merino, Andrea Acevedo, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 202, pp. 105999-105999
Closed Access | Times Cited: 97
Showing 51-75 of 97 citing articles:
Deep learning model for differentiating acute myeloid and lymphoblastic leukemia in peripheral blood cell images via myeloblast and lymphoblast classification
Sholhui Park, Young Hoon Park, Jungwon Huh, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Sholhui Park, Young Hoon Park, Jungwon Huh, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Artificial Intelligence Applications in Cytopathology
Louis Vaickus, Darcy A. Kerr, Jaylou M. Velez Torres, et al.
Surgical pathology clinics (2024) Vol. 17, Iss. 3, pp. 521-531
Closed Access | Times Cited: 1
Louis Vaickus, Darcy A. Kerr, Jaylou M. Velez Torres, et al.
Surgical pathology clinics (2024) Vol. 17, Iss. 3, pp. 521-531
Closed Access | Times Cited: 1
Disease Classification Model Using Capsule Networks Based on White Blood Cells
Prajwal Gaikwad, Rakesh K. Deshmukh, Priya Pise, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Prajwal Gaikwad, Rakesh K. Deshmukh, Priya Pise, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Residual Network with Squeeze-And-Excitation Block for White Blood Cell Classification in Acute Myeloid Leukemia
Umar Sani, Esti Suryani, Wisnu Widiarto, et al.
(2024), pp. 239-244
Closed Access | Times Cited: 1
Umar Sani, Esti Suryani, Wisnu Widiarto, et al.
(2024), pp. 239-244
Closed Access | Times Cited: 1
A large multi-focus dataset for white blood cell classification
Seongjin Park, Hyunghun Cho, Bo Mee Woo, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Seongjin Park, Hyunghun Cho, Bo Mee Woo, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A new lightweight convolutional neural network for radiation-induced liver disease classification
Demet Alici-Karaca, Bahriye Akay, Arzu Yay, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103463-103463
Closed Access | Times Cited: 9
Demet Alici-Karaca, Bahriye Akay, Arzu Yay, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103463-103463
Closed Access | Times Cited: 9
A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection
José Rodellar, Kevin Barrera, Santiago Alférez, et al.
Bioengineering (2022) Vol. 9, Iss. 5, pp. 229-229
Open Access | Times Cited: 6
José Rodellar, Kevin Barrera, Santiago Alférez, et al.
Bioengineering (2022) Vol. 9, Iss. 5, pp. 229-229
Open Access | Times Cited: 6
Detection of Acute Lymphoblastic Leukemia Subtypes using YOLO and Mask R-CNN
Chastine Fatichah, Nanik Suciati, Tanzilal Mustaqim, et al.
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (2022), pp. 413-418
Closed Access | Times Cited: 6
Chastine Fatichah, Nanik Suciati, Tanzilal Mustaqim, et al.
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (2022), pp. 413-418
Closed Access | Times Cited: 6
Leukocyte subtype classification with multi-model fusion
Yingying Ding, Xuehui Tang, Yuan Zhuang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2305-2316
Closed Access | Times Cited: 3
Yingying Ding, Xuehui Tang, Yuan Zhuang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2305-2316
Closed Access | Times Cited: 3
A New Model for Blood Cancer Classification Based on Deep Learning Techniques
Hagar Ibrahim Mohamed, Fahad Kamal Elsheref, Shrouk Reda Kamal
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Hagar Ibrahim Mohamed, Fahad Kamal Elsheref, Shrouk Reda Kamal
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 3
Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology
Yumi Hanai, Hiroaki Ishihata, Zaijun Zhang, et al.
Biomedicines (2022) Vol. 10, Iss. 5, pp. 941-941
Open Access | Times Cited: 5
Yumi Hanai, Hiroaki Ishihata, Zaijun Zhang, et al.
Biomedicines (2022) Vol. 10, Iss. 5, pp. 941-941
Open Access | Times Cited: 5
Undersampling and Oversampling Strategies for Convolutional Neural Networks Classifier
Siti Raihanah Abdani, Mohd Asyraf Zulkifley, Nuraisyah Hani Zulkifley
Lecture notes in electrical engineering (2022), pp. 1129-1137
Closed Access | Times Cited: 5
Siti Raihanah Abdani, Mohd Asyraf Zulkifley, Nuraisyah Hani Zulkifley
Lecture notes in electrical engineering (2022), pp. 1129-1137
Closed Access | Times Cited: 5
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer
Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 2, pp. 905-931
Closed Access | Times Cited: 2
Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, et al.
Knowledge and Information Systems (2023) Vol. 66, Iss. 2, pp. 905-931
Closed Access | Times Cited: 2
Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Leukemia Detection Using Machine and Deep Learning Through Microscopic Images—A Review
Qurat Ul Ain, Shahzad Akbar, Sahar Gull, et al.
Studies in big data (2022), pp. 261-291
Closed Access | Times Cited: 4
Qurat Ul Ain, Shahzad Akbar, Sahar Gull, et al.
Studies in big data (2022), pp. 261-291
Closed Access | Times Cited: 4
Combination of Cross Stage Partial Network and GhostNet with Spatial Pyramid Pooling on Yolov4 for Detection of Acute Lymphoblastic Leukemia Subtypes in Multi-Cell Blood Microscopic Image
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
Scientific Journal of Informatics (2022) Vol. 9, Iss. 2, pp. 139-148
Open Access | Times Cited: 4
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
Scientific Journal of Informatics (2022) Vol. 9, Iss. 2, pp. 139-148
Open Access | Times Cited: 4
Supervised Acute Lymphocytic Leukemia Detection and Classification Based - Empirical Mode Decomposition
Reem Magdy Elrefaie, El-Said A. Marzouk, Mohamed A. Mohamed, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2022) Vol. 3, pp. 1-7
Closed Access | Times Cited: 3
Reem Magdy Elrefaie, El-Said A. Marzouk, Mohamed A. Mohamed, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2022) Vol. 3, pp. 1-7
Closed Access | Times Cited: 3
Visual Representation Learning Using Graph-Based Higher-Order Heuristic Distillation for Cell Detection in Blood Smear Images
Hyeokjin Kwon, Jihye Ha, Eun Jung Baek, et al.
(2024)
Closed Access
Hyeokjin Kwon, Jihye Ha, Eun Jung Baek, et al.
(2024)
Closed Access
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario
Lorenzo Putzu, Andrea Loddo
Lecture notes in computer science (2024), pp. 3-14
Closed Access
Lorenzo Putzu, Andrea Loddo
Lecture notes in computer science (2024), pp. 3-14
Closed Access
Introduction to machine learning and its applications in stem cell research
Nirbhay Raghav, Anil Vishnu G.K., Neha Deshpande, et al.
Elsevier eBooks (2024), pp. 419-432
Closed Access
Nirbhay Raghav, Anil Vishnu G.K., Neha Deshpande, et al.
Elsevier eBooks (2024), pp. 419-432
Closed Access
Visual representation learning using graph-based higher-order heuristic distillation for cell detection in blood smear images
Hyeokjin Kwon, Seonggyu Kim, Jihye Ha, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200345-200345
Open Access
Hyeokjin Kwon, Seonggyu Kim, Jihye Ha, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200345-200345
Open Access
A Comprehensive Study on Technological Advancements in Treatment and Prognosis of Acute Myeloid Leukemia
Anaswara Venunadh, Shyam P. Joy
(2024), pp. 1-7
Closed Access
Anaswara Venunadh, Shyam P. Joy
(2024), pp. 1-7
Closed Access
Improving Leukemia Detection Accuracy
Olalekan J. Awujoola, Theophilus Enem Aniemeka, Oluwasegun Abiodun Abioye, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 99-132
Closed Access
Olalekan J. Awujoola, Theophilus Enem Aniemeka, Oluwasegun Abiodun Abioye, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 99-132
Closed Access
Automatic White Blood Cells Classification using Optimized Convulutional Neural Network
Pragati Mahale, Rakesh K. Deshmukh, Priya Pise, et al.
(2024), pp. 1-6
Closed Access
Pragati Mahale, Rakesh K. Deshmukh, Priya Pise, et al.
(2024), pp. 1-6
Closed Access
A Review on Automated Detection of Acute Myeloid Leukemia
Aswathy Elma Aby, S. Salaji, K. Anilkumar
(2024), pp. 1-6
Closed Access
Aswathy Elma Aby, S. Salaji, K. Anilkumar
(2024), pp. 1-6
Closed Access
