Mohammed Yusuf Ansari
Carnegie Mellon University Qatar(QA)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, ECG Monitoring and Analysis, Hepatocellular Carcinoma Treatment and Prognosis, AI in cancer detection
Most-Cited Works
- → Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation(2022)124 cited
- → A lightweight neural network with multiscale feature enhancement for liver CT segmentation(2022)118 cited
- → Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review(2024)103 cited
- → Practical utility of liver segmentation methods in clinical surgeries and interventions(2022)100 cited
- → Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing(2022)78 cited
- → Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta(2023)70 cited
- → Efficacy of fusion imaging for immediate post‐ablation assessment of malignant liver neoplasms: A systematic review(2023)60 cited
- → Risk Assessment of Computer-Aided Diagnostic Software for Hepatic Resection(2021)58 cited
- → Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade(2023)55 cited
- → Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound(2023)44 cited