Mohammed Yusuf Ansari

According to our database, Mohammed Yusuf Ansari authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

PoreViT: Automated pore typing in carbonate rocks using vision transformers and neighborhood features.

Yemna Qaiser, Mohammed Ishaq, Mohammed Yaqoob, Mohammed Yusuf Ansari, Isaac Sujay, Talha Khan, Harris Sajjad Rabbani, Juan Carlos Laya, P. J. Moore, Thomas D. Seers

Comput. Geosci., 2026

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

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., March, 2025

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

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

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

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, December, 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, February, 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

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East.

Mohammed Yusuf Ansari, Marwa K. Qaraqe

IEEE Access, 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

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

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

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

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

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022