Muhammad Fazal Ijaz
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Explore the profile of Muhammad Fazal Ijaz including associated specialties, affiliations and a list of published articles.
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Articles
51
Citations
677
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Recent Articles
1.
Halder A, Dalal A, Gharami S, Wozniak M, Ijaz M, Singh P
Sci Rep
. 2025 Feb;
15(1):6268.
PMID: 39979375
Skin cancer is widespread and can be potentially fatal. According to the World Health Organisation (WHO), it has been identified as a leading cause of mortality. It is essential to...
2.
Ponraj A, Nagaraj P, Balakrishnan D, Srinivasu P, Shafi J, Kim W, et al.
Digit Health
. 2025 Jan;
11():20552076241313161.
PMID: 39839961
Purpose: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective...
3.
Johri P, Kim S, Dixit K, Sharma P, Kakkar B, Kumar Y, et al.
Front Plant Sci
. 2025 Jan;
15:1441117.
PMID: 39759238
Introduction: Cotton, being a crucial cash crop globally, faces significant challenges due to multiple diseases that adversely affect its quality and yield. To identify such diseases is very important for...
4.
Srinivasu P, Jaya Lakshmi G, Gudipalli A, Narahari S, Shafi J, Wozniak M, et al.
Sci Rep
. 2024 Nov;
14(1):28674.
PMID: 39562768
Early diagnosis of breast cancer is exceptionally important in signifying the treatment results, of women's health. The present study outlines a novel approach for analyzing breast cancer data by using...
5.
Kumar Y, Shrivastav S, Garg K, Modi N, Wiltos K, Wozniak M, et al.
Sci Rep
. 2024 Oct;
14(1):25006.
PMID: 39443621
Cancer detection poses a significant challenge for researchers and clinical experts due to its status as the leading cause of global mortality. Early detection is crucial, but traditional cancer detection...
6.
Bhardwaj P, Kim S, Koul A, Kumar Y, Changela A, Shafi J, et al.
Front Oncol
. 2024 Oct;
14:1431912.
PMID: 39351364
Introduction: The rapid advancement of science and technology has significantly expanded the capabilities of artificial intelligence, enhancing diagnostic accuracy for gastric cancer. Methods: This research aims to utilize endoscopic images...
7.
Halder A, Gharami S, Sadhu P, Singh P, Wozniak M, Ijaz M
Sci Rep
. 2024 May;
14(1):12567.
PMID: 38821977
In recent years, the growth spurt of medical imaging data has led to the development of various machine learning algorithms for various healthcare applications. The MedMNISTv2 dataset, a comprehensive benchmark...
8.
Kumar Y, Koul A, Kamini , Wozniak M, Shafi J, Ijaz M
Sci Rep
. 2024 Mar;
14(1):6589.
PMID: 38504098
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to...
9.
Rajadurai S, Perumal K, Ijaz M, Chowdhary C
Diagnostics (Basel)
. 2024 Mar;
14(5).
PMID: 38472941
Malignant lymphoma, which impacts the lymphatic system, presents diverse challenges in accurate diagnosis due to its varied subtypes-chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL). Lymphoma...
10.
Tripathy S, Bebortta S, Chowdhary C, Mukherjee T, Kim S, Shafi J, et al.
Heliyon
. 2024 Mar;
10(5):e26416.
PMID: 38468957
The emergence of federated learning (FL) technique in fog-enabled healthcare system has leveraged enhanced privacy towards safeguarding sensitive patient information over heterogeneous computing platforms. In this paper, we introduce the...