Neural Network-based Fast Liver Ultrasound Image Segmentation. - Mohammed Yusuf Ansari; Iffa Afsa Changaai Mangalote; Dima Masri; Sarada Prasad Dakua (IJCNN, 2023)

Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review. - Mohammed Yusuf Ansari; Iffa Afsa Changaai Mangalote; Pramod Kumar Meher; Omar Aboumarzouk; Abdulla Al-Ansari; Osama Halabi; Sarada Prasad Dakua (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education. - Iffa Afsa Changaai Mangalote; Omar Aboumarzouk; Abdulla Al-Ansari; Sarada Prasad Dakua (Artif. Intell. Rev., 2024)

A comprehensive survey to study the utilities of image segmentation methods in clinical routine. - Rashmita Kumari Mohapatra; Lochan Jolly; Dalamchwami Chen Lyngdoh; Gajendra Kumar Mourya; Iffa Afsa Changaai Mangalote; Syed Intekhab Alam; Sarada Prasad Dakua (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability. - Iffa Afsa Changaai Mangalote; Mohammed Yusuf Ansari; Santu Paul; Osama Halabi; Ezzedin Alataresh; Jassim Shah; Afaf Hamze; Omar Aboumarzouk; Abdulla Al-Ansari; Sarada Prasad Dakua (IEEE Trans. Biomed. Eng., 2025)

A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions. - Mohammed Yusuf Ansari; Mohammed Yaqoob; Mohammed Ishaq; Eduardo Feo Flushing; Iffa Afsa Changaai Mangalote; Sarada Prasad Dakua; Omar Aboumarzouk; Raffaella Righetti; Marwa K. Qaraqe (Artif. Intell. Rev., 2025)