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:

Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers
Abdul Qayyum, Moona Mazher, Tariq Khan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105590-105590
Closed Access | Times Cited: 22

Showing 22 citing articles:

Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation
Moona Mazher, Imran Razzak, Abdul Qayyum, et al.
Information Fusion (2024) Vol. 106, pp. 102256-102256
Open Access | Times Cited: 11

Opportunities and challenges in the application of large artificial intelligence models in radiology
Liangrui Pan, Zhenyu Zhao, Ying Lü, et al.
Meta-Radiology (2024) Vol. 2, Iss. 2, pp. 100080-100080
Open Access | Times Cited: 4

SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network
Muhammad Azeem, Kaveh Kiani, Taha Mansouri, et al.
Cancers (2023) Vol. 16, Iss. 1, pp. 108-108
Open Access | Times Cited: 11

Fragment distance-guided dual-stream learning for automatic pelvic fracture segmentation
Bolun Zeng, Huixiang Wang, Leo Joskowicz, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102412-102412
Closed Access | Times Cited: 3

Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey
Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106276-106276
Closed Access | Times Cited: 7

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality
Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, et al.
Information Fusion (2023) Vol. 102, pp. 102061-102061
Open Access | Times Cited: 7

Hybrid Classical and Quantum Deep Learning Models for Medical Image Classification
Moona Mazher, Abdul Qayyum, M.K.A. Ahamed Khan, et al.
Proceedings of International Conference on Artificial Life and Robotics (2024) Vol. 29, pp. 222-226
Open Access | Times Cited: 1

Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle
Abdul Qayyum, Moona Mazher, Angela Lee, et al.
Lecture notes in computer science (2024), pp. 432-442
Closed Access | Times Cited: 1

BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications
Thanapong Intharah, Kannika Wiratchawa, Yupaporn Wanna, et al.
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102539-102539
Closed Access | Times Cited: 3

Deep learning framework-based 3D shape reconstruction of tanks from a single RGB image
Jincheng Chen, Feiding Zhu, Yuge Han, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106366-106366
Closed Access | Times Cited: 3

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction
Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 28, Iss. 3, pp. 1185-1194
Closed Access | Times Cited: 5

Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium
Abdul Qayyum, Moona Mazher, Imran Razzak, et al.
(2023), pp. 9-15
Closed Access | Times Cited: 2

Magnetic Resonance Spectroscopy (MRS) Reconstruction Using Style Transfer Deep Depth wise Framework
Abdul Qayyum, Steven Niederer, M.K.A. Ahamed Khan, et al.
Proceedings of International Conference on Artificial Life and Robotics (2024) Vol. 29, pp. 209-214
Open Access

Federated Learning on Brain Disease Research: Segmentation of Cerebral Small Vessel Diseases (CSVD) using Multi-scale Hybrid Spatial Deep Learning Approach
Moona Mazher, Abdul Qayyum, M.K.A. Ahamed Khan, et al.
Proceedings of International Conference on Artificial Life and Robotics (2024) Vol. 29, pp. 215-221
Open Access

Parallel Cross Window Attention Transformer and CNN Model for Segmentation of Instrument during Surgery
Abdul Qayyum, Steven Niederer, M.K.A. Ahamed Khan, et al.
Proceedings of International Conference on Artificial Life and Robotics (2024) Vol. 29, pp. 204-208
Open Access

Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19
Kajal Kansal, Tej Bahadur Chandra, Akansha Singh
Multimedia Tools and Applications (2024)
Closed Access

Reliable semi-supervised mutual learning framework for medical image segmentation
Wenlong Hang, Kui Bai, Shuang Liang, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106798-106798
Closed Access

Automatic Delineation and Prognostic Assessment of Head and Neck Tumor Lesion in Multi-Modality Positron Emission Tomography / Computed Tomography Images Based on Deep Learning: A Survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Muhammad Zubair Islam, et al.
Neurocomputing (2024) Vol. 610, pp. 128531-128531
Closed Access

Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation
Wenlong Hang, Peng Dai, Chenglong Pan, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107144-107144
Closed Access

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