Iffa Afsa Changaai Mangalote

According to our database, Iffa Afsa Changaai Mangalote authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., September, 2025

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., May, 2025

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., December, 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., July, 2024

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., June, 2024

2023

Neural Network-based Fast Liver Ultrasound Image Segmentation.

Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua

Proceedings of the International Joint Conference on Neural Networks, 2023