Towards Developing a Lightweight Neural Network for Liver CT Segmentation. - Mohammed Yusuf Ansari; Snigdha Mohanty; Serah Jessy Mathew; Subhashree Mishra; Sudhansu Sekhar Singh; Julien Abinahed; Abdulla Al-Ansari; Sarada Prasad Dakua (MICAD, 2022)

Practical utility of liver segmentation methods in clinical surgeries and interventions. - Mohammed Yusuf Ansari; Alhusain Abdalla; Mohammed Yaqoob Ansari; Mohammed Ishaq Ansari; Byanne Malluhi; Snigdha Mohanty; Subhashree Mishra; Sudhansu Sekhar Singh; Julien Abinahed; Abdulla Al-Ansari; Shidin Balakrishnan; Sarada Prasad Dakua (BMC Medical Imaging, 2022)

Correction: Practical utility of liver segmentation methods in clinical surgeries and interventions. - Mohammed Yusuf Ansari; Alhusain Abdalla; Mohammed Yaqoob Ansari; Mohammed Ishaq Ansari; Byanne Malluhi; Snigdha Mohanty; Subhashree Mishra; Sudhansu Sekhar Singh; Julien Abinahed; Abdulla Al-Ansari; Shidin Balakrishnan; Sarada Prasad Dakua (BMC Medical Imaging, 2022)

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

Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing. - Mohammed Yusuf Ansari; Vaisali Chandrasekar; Ajay Vikram Singh; Sarada Prasad Dakua (IEEE Access, 2023)

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East. - Mohammed Yusuf Ansari; Marwa K. Qaraqe (IEEE Access, 2023)

Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta. - Vaisali Chandrasekar; Mohammed Yusuf Ansari; Ajay Vikram Singh; Shahab Uddin; Kirthi S. Prabhu; Sagnika Dash; Souhaila Al Khodor; Annalisa Terranegra; Matteo Avella; Sarada Prasad Dakua (IEEE Access, 2023)

Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation. - Mohammed Yusuf Ansari; Yin Yang; Pramod Kumar Meher; Sarada Prasad Dakua (Comput. Biol. Medicine, 2023)

Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade. - Mohammed Yusuf Ansari; Marwa K. Qaraqe; Fatme Charafeddine; Erchin Serpedin; Raffaella Righetti; Khalid A. Qaraqe (Artif. Intell. Medicine, 2023)

CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments. - Ishaq Ansari; Abubakr Mohamed; Yaqoob Ansari; Mohammed Yusuf Ansari; Saquib Razak; Eduardo Feo Flushing (IEEE Access, 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., 2024)

MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography. - Mohammed Yaqoob Ansari; Mohammed Yusuf Ansari; Mohammed Ishaq Ansari; Issac Sujay Anand John Jayachandran; Mohammed S. Hashim; Thomas D. Seers (IEEE Access, 2025)

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis. - Mohammed Yaqoob Ansari; Mohammed Ishaq Ansari; Mohammed Yusuf Ansari; Yemna Qaiser; Rehaan Hussain; Harris Sajjad Rabbani; Russell J. Garwood; Thomas D. Seers (Artif. Intell. Rev., 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., 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)