1-  †Haeyoun Kang , † Sikandar Ali, †Ali Hussain, Damin Moon, Won-Ae Lee, MinSun Cho, Hyeong-Chan Shin, Yujun Park , Baek Hwan Cho , Nam-Hoon Cho, Heejung An , Dongmin Kim, Heung-Kook Choi, *Hee Cheol Kim, *Hyunki Kim Explainable AI for Lymph Node Metastasis Prediction in Gastric Cancer Biopsy Whole Slide Images - Leveraging Foundation Model with Multiple Instance Learning   accepted and presented at MICCAI 2025 Through cliniccai track.

2- Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah and Hee-Cheol Kim, “ Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model” Sensors (SCI-E, IF: 3.9) 2022, 22(24), 9983; https://doi.org/10.3390/s22249983 

3- Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim “Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security” Sensors (SCI-E, IF: 3.9) 2023, 23(2), 565; https://doi.org/10.3390/s23020565

4- Sikandar Ali, Ali Hussain, Satyabrata Aich, Moosuk Park, Man Pyo Chung, Sung Hwan Jeong, Jin-Woo Song, Jae Ha Lee *, Hee-Cheol Kim* “A Soft voting ensemble-based model for the early prediction of idiopathic pulmonary fibrosis (IPF) disease severity in lungs disease patients [2021]” Life (SCI-E, IF: 3.81) [2021]. Life 2021, 11(10), 1092; https://doi.org/10.3390/life11101092

5- Mr Abdullah*, Sikandar Ali *, Armand Poupi, Hee-Cheol Kim “A weakly supervised learning approach based on multiple-instance learning and self-supervised contrastive learning for gastric cancer classification using whole slide Images” https://link.springer.com/article/10.1007/s00428-023-03602-w

6- Sikandar Ali, Fatima Samman, Ali hussain, Maisam Ali, Muhammad Yaseen, Poupi, Hee cheol Kim. “Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features” DOI: 10.23919/ICACT60172.2024.10471916

7- Sikandar Ali, Abdullah, Maisam Ali, Ali Hussain, Hee Cheol Kim “Computer Vision-Based Military Tank Recognition Using Object Detection Technique: An application of the YOLO Framework” DOI: 10.1109/ICAISC56366.2023.10085552

8- Ali Hussain*, Sikandar Ali*, Abdullah, Hee Cheol Kim "Activity Detection for the wellbeing of dogs Using Wearable Sensors based on Deep Learning.’ DOI: 10.1109/ACCESS.2022.3174813.

9- Ali Hussain*, Sikandar Ali*, Moon-Il Joo, Hee Cheol Kim “A Deep Learning Approach for Detecting and Classifying Cat Activity to Monitor and Improve Cat’s Well-being using Accelerometer, Gyroscope, and Magnetometer” IEEE Sensors Journal (SCI-Q1, IF: 4.3) [2023]. DOI= 10.1109/JSEN.2023.3324665

10- Abdullah, Sikandar Ali, Ziaullah Khan, Ali Hussain, Ali Athar, Hee-Cheol Kim “ Computer Vision Based Deep Learning Approach for the Detection and Classification of Algae Species Using Microscopic Images” Water 2022, 14(14), 2219; https://doi.org/10.3390/w14142219

11- Samman Fatima, Sikandar Ali, Hee Cheol Kim “A comprehensive review on multiple instance learning’ SCI-E IF: 2.9 Electronics 2023, 12(20), 4323; DOI: https://doi.org/10.3390/electronics12204323

12- Abdullah, Ali Sikandar, Ali Hussain, Satyabrata Aich, Hee-Cheol Kim, Mangle Sain, Hee-Cheol Kim* “Hybrid Based Model Face Shape Classification Using Ensemble Method for Hairstyle Recommender System”. DOI: 10.1007/978-981-16-9480-6_7

13- Muhammad Yaseen, Masiam Ali, Sikandar Ali, Ali Hussain, Moon Il Joo, Hee Cheol Kim “Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology” DOI: 10.1109/ACCESS.2024.3398061