Personal information

Artificial intelligence, Data science, Machine learning, Deep learning, Medical imaging
South Korea, Pakistan

Biography

My research interests include Artificial intelligence, Data science, Machine learning, Deep learning, Computer vision and Medical imaging.

Activities

Employment (1)

Inje University: Gimhae, South Korea, KR

2022-03-02 to present | Research Assistant (Department of Digital Anti-Aging Healthcare)
Employment
Source: Self-asserted source
Muhammad Yaseen

Education and qualifications (2)

Inje University: Gimhae, South Korea, KR

2022-03-02 to 2024-02-29 | MS in Artifcial Intelligence in Healthcare (Department of Digital Anti-Aging Healthcare)
Education
Source: Self-asserted source
Muhammad Yaseen

Hamdard University: Karachi, Pakistan, PK

2013-09-16 to 2018-02-19 | BSc Electrical Engineering (Dept. Electrical Engineering)
Education
Source: Self-asserted source
Muhammad Yaseen

Works (6)

Deep Learning-Based Approach for Microscopic Algae Classification with Grad-CAM Interpretability

Electronics
2025-01-22 | Journal article
Part of ISSN: 2079-9292
Contributors: Maisam Ali; Muhammad Yaseen; Sikandar Ali; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen

Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology

IEEE Access
2024-05-08 | Journal article | Author
Part of ISSN: 2169-3536
Contributors: Muhammad Yaseen; maisam ali; Sikandar Ali; Ali Hussain; Joo MoonIl; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen
grade
Preferred source (of 2)‎

Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features

2024 26th International Conference on Advanced Communications Technology (ICACT)
2024-02-04 | Conference paper
Contributors: Sikandar Ali; Samman Fatima; Ali Hussain; Maisam Ali; Muhammad Yaseen; Tagne Poupi Theodore Armand; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen

Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO

2024 26th International Conference on Advanced Communications Technology (ICACT)
2024-02-04 | Conference paper
Contributors: Muhammad Yaseen; Maisam Ali; Sikander Ali; Ali Hussain; Ali Athar; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen

Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer

2024 26th International Conference on Advanced Communications Technology (ICACT)
2024-02-04 | Conference paper
Contributors: Maisam Ali; Muhammad Yaseen; Sikandar Ali; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen

Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security

Sensors
2023-01-04 | Journal article
Part of ISSN: 1424-8220
Contributors: Sikandar Ali; Abdullah; Tagne Poupi Theodore Armand; Ali Athar; Ali Hussain; Maisam Ali; Muhammad Yaseen; Joo MoonIl; Hee-Cheol Kim
Source: Self-asserted source
Muhammad Yaseen