A Level Set Method for Cardiac Magnetic Resonance Image Segmentation: An Adaptive Approach. - Sarada Prasad Dakua; J. S. Sahambi (ICIIS, 2008)

Left Ventricular Contour Extraction from Cardiac MR Images using CB and Random Walks Approach. - Sarada Dakua; Jyotinder Sahambi (NaBIC, 2009)

Effect of Beta in Random Walk Approach for LV Contour Extraction. - Sarada Dakua; Jyotinder Sahambi (NaBIC, 2009)

Weighting function in Random Walk based left ventricle segmentation. - Sarada Prasad Dakua; Jyotinder Sahambi (ICIP, 2011)

Contrast enhancement in wavelet domain for graph-based segmentation in medical imaging. - Sarada Prasad Dakua; Julien Abi-Nahed (ICVGIP, 2012)

Self Stabilization of Image Attributes for Left Ventricle Segmentation. - Sarada Prasad Dakua; Julien Abi-Nahed; Abdulla Al-Ansari (STACOM, 2013)

Performance divergence with data discrepancy: a review. - Sarada Prasad Dakua (Artif. Intell. Rev., 2013)

Patient oriented graph-based image segmentation. - Sarada Prasad Dakua; Julien Abi-Nahed (Biomed. Signal Process. Control., 2013)

Use of chaos concept in medical image segmentation. - Sarada Prasad Dakua (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013)

Annularcut: A graph-cut design for left ventricle segmentation from magnetic resonance images. - Sarada Prasad Dakua (IET Image Process., 2014)

LV Segmentation Using Stochastic Resonance and Evolutionary Cellular Automata. - Sarada Prasad Dakua (Int. J. Pattern Recognit. Artif. Intell., 2015)

Pathological liver segmentation using stochastic resonance and cellular automata. - Sarada Prasad Dakua; Julien Abinahed; Abdulla Al-Ansari (J. Vis. Commun. Image Represent., 2016)

Cellular automata-based left ventricle reconstruction from magnetic resonance images. - Sarada Prasad Dakua; Julien Abinahed; Abdulla Al-Ansari (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

A Method Towards Cerebral Aneurysm Detection in Clinical Settings. - Sarada Prasad Dakua; Julien Abinahed; Abdulla Al-Ansari; Pablo Garcia Bermejo; Ayaman Zakaria; Abbes Amira; Faycal Bensaali (SaMBa@MICCAI, 2018)

Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip. - Xiaojun Zhai; Mohammad Eslami; Ealaf Sayed Hussein; Maroua Salem Filali; Salma Tarek Shalaby; Abbes Amira; Faycal Bensaali; Sarada Dakua; Julien Abinahed; Abdulla Al-Ansari; Ayman Z. Ahmed (J. Comput. Sci., 2018)

A PCA-based approach for brain aneurysm segmentation. - Sarada Prasad Dakua; Julien Abinahed; Abdulla Al-Ansari (Multidimens. Syst. Signal Process., 2018)

Hemelb Acceleration and Visualization for Cerebral Aneurysms. - Sahar Soheilian Esfahani; Peter V. Coveney; Xiaojun Zhai; Minsi Chen; Abbes Amira; Faycal Bensaali; Julien Abinahed; Sarada Dakua; Georges Younes 003; Robin A. Richardson (ICIP, 2019)

Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping. - Sarada Prasad Dakua; Julien Abinahed; Ayman Zakaria; Shidin Balakrishnan; Georges Younes 003; Nikhil V. Navkar; Abdulla Al-Ansari; Xiaojun Zhai; Faycal Bensaali; Abbes Amira (Int. J. Comput. Assist. Radiol. Surg., 2019)

Zynq SoC based acceleration of the lattice Boltzmann method. - Xiaojun Zhai; Abbes Amira; Faycal Bensaali; AlMaha Al-Shibani; Asma Al-Nassr; Asmaa El-Sayed; Mohammad Eslami; Sarada Prasad Dakua; Julien Abinahed (Concurr. Comput. Pract. Exp., 2019)

A Surgical-Oriented Liver Segmentation Approach Using Deep Learning. - Alhusain Abdalla; Nouraldeen Ahmed; Sarada Dakua; Shidin Balakrishnan; Julien Abinahed (ICIoT, 2020)

Lattice-Boltzmann interactive blood flow simulation pipeline. - Sahar Soheilian Esfahani; Xiaojun Zhai; Minsi Chen; Abbes Amira; Faycal Bensaali; Julien Abinahed; Sarada Dakua; Georges Younes 003; Abdulla Baobeid; Robin A. Richardson; Peter V. Coveney (Int. J. Comput. Assist. Radiol. Surg., 2020)

Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System. - Xiaojun Zhai; Minsi Chen; Sahar Soheilian Esfahani; Abbes Amira; Faycal Bensaali; Julien Abinahed; Sarada Dakua; Robin A. Richardson; Peter V. Coveney (IEEE Syst. J., 2020)

Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (CoRR, 2021)

Towards Developing a Liver Segmentation Method for Hepatocellular Carcinoma Treatment Planning. - Snigdha Mohanty; Julien Abinahed; Abdulla Al-Ansari; Subhashree Mishra; Sudhansu Sekhar Singh; Sarada Prasad Dakua (INDIN, 2022)

Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (ISPR, 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 (MICAD, 2022)

Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration. - Snigdha Mohanty; Sarada Prasad Dakua (IEEE Access, 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)

Role of Liver Registration in Hepatocellular Carcinoma Treatment Planning. - Sarada Prasad Dakua; Snigdha Mohanty; Subhashree Mishra; Sudhansu Sekhar Singh; Julien Abinahed; Abdulla Al-Ansari (BigDataService, 2023)

A Close-Up on the AI Radiologist Software. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua (ICCSA (2), 2023)

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

Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion. - Mohammad Farid Azampour; Yordanka Velikova; Emad Fatemizadeh; Sarada Prasad Dakua; Nassir Navab (MICAD, 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)

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)

Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua; Yassine Himeur (Eng. Appl. Artif. Intell., 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)

Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage. - Yousra Regaya; Abbes Amira; Sarada Prasad Dakua (Netw. Model. Anal. Health Informatics Bioinform., 2023)

AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI. - Ayman Al-Kababji; Faycal Bensaali; Sarada Prasad Dakua; Yassine Himeur (CoRR, 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)

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)

Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction. - Syed Mohammad; Vaisali Chandrasekar; Omar Aboumarzouk; Ajay Vikram Singh; Sarada Prasad Dakua (IEEE Access, 2025)

Advancing explainable AI in healthcare: Necessity, progress, and future directions. - Rashmita Kumari Mohapatra; Lochan Jolly; Sarada Prasad Dakua (Comput. Biol. Chem., 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)