Sarada Dakua

According to our database, Sarada Dakua authored at least 42 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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., 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

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

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

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

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

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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

A Close-Up on the AI Radiologist Software.

Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

Role of Liver Registration in Hepatocellular Carcinoma Treatment Planning.

Sarada Prasad Dakua, Snigdha Mohanty, Subhashree Mishra, Sudhansu Sekhar Singh, Julien Abinahed, Abdulla Al-Ansari

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 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

Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration.

Snigdha Mohanty, Sarada Prasad Dakua

IEEE Access, 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

Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR.

Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua

Proceedings of the Intelligent Systems and Pattern Recognition, 2022

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

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

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

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

Lattice-Boltzmann interactive blood flow simulation pipeline.

Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Abdulla Baobeid, Robin A. Richardson, Peter V. Coveney

Int. J. Comput. Assist. Radiol. Surg., 2020

A Surgical-Oriented Liver Segmentation Approach Using Deep Learning.

Alhusain Abdalla, Nouraldeen Ahmed, Sarada Dakua, Shidin Balakrishnan, Julien Abinahed

Proceedings of the IEEE International Conference on Informatics, 2020

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

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, Nikhil V. Navkar, Abdulla Al-Ansari, Xiaojun Zhai, Faycal Bensaali, Abbes Amira

Int. J. Comput. Assist. Radiol. Surg., 2019

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, Robin A. Richardson

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

A PCA-based approach for brain aneurysm segmentation.

Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari

Multidimens. Syst. Signal Process., 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 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

Proceedings of the Processing and Analysis of Biomedical Information, 2018

2017

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

2016

Pathological liver segmentation using stochastic resonance and cellular automata.

Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari

J. Vis. Commun. Image Represent., 2016

2015

LV Segmentation Using Stochastic Resonance and Evolutionary Cellular Automata.

Sarada Prasad Dakua

Int. J. Pattern Recognit. Artif. Intell., 2015

2014

Annularcut: A graph-cut design for left ventricle segmentation from magnetic resonance images.

Sarada Prasad Dakua

IET Image Process., 2014

2013

Use of chaos concept in medical image segmentation.

Sarada Prasad Dakua

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013

Patient oriented graph-based image segmentation.

Sarada Prasad Dakua, Julien Abi-Nahed

Biomed. Signal Process. Control., 2013

Performance divergence with data discrepancy: a review.

Sarada Prasad Dakua

Artif. Intell. Rev., 2013

Self Stabilization of Image Attributes for Left Ventricle Segmentation.

Sarada Prasad Dakua, Julien Abi-Nahed, Abdulla Al-Ansari

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

2012

Contrast enhancement in wavelet domain for graph-based segmentation in medical imaging.

Sarada Prasad Dakua, Julien Abi-Nahed

Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

2011

Weighting function in Random Walk based left ventricle segmentation.

Sarada Prasad Dakua, Jyotinder Sahambi

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009

Effect of Beta in Random Walk Approach for LV Contour Extraction.

Sarada Dakua, Jyotinder Sahambi

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Left Ventricular Contour Extraction from Cardiac MR Images using CB and Random Walks Approach.

Sarada Dakua, Jyotinder Sahambi

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

2008

A Level Set Method for Cardiac Magnetic Resonance Image Segmentation: An Adaptive Approach.

Sarada Prasad Dakua, J. S. Sahambi

Proceedings of the IEEE Reglon 10 Colloquium and Third International Conference on Industrial and Information Systems, 2008