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ORCIDSarada Dakua
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2020 – today
- 2024
[j24]Iffa Afsa Changaai Mangalote, Omar Aboumarzouk, Abdulla Al-Ansari, Sarada Prasad Dakua:
A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education. Artif. Intell. Rev. 57(7): 186 (2024)- [j23]Rashmita Kumari Mohapatra
, Lochan Jolly, Dalamchwami Chen Lyngdoh, Gajendra Kumar Mourya, Iffa Afsa Changaai Mangalote, Syed Intekhab Alam, Sarada Prasad Dakua:
A comprehensive survey to study the utilities of image segmentation methods in clinical routine. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 2 (2024) - [j22]Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Pramod Kumar Meher, Omar Aboumarzouk, Abdulla Al-Ansari, Osama Halabi, Sarada Prasad Dakua:
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2126-2149 (2024) - [i4]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua, Yassine Himeur:
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI. CoRR abs/2406.07688 (2024) - 2023
- [j21]Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, Sarada Prasad Dakua:
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing. IEEE Access 11: 9890-9906 (2023) - [j20]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:
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta. IEEE Access 11: 52726-52739 (2023) - [j19]Mohammed Yusuf Ansari, Yin Yang, Pramod Kumar Meher, Sarada Prasad Dakua:
Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation. Comput. Biol. Medicine 153: 106478 (2023) - [j18]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua, Yassine Himeur:
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations. Eng. Appl. Artif. Intell. 117(Part): 105532 (2023) - [j17]Yousra Regaya, Abbes Amira, Sarada Prasad Dakua:
Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage. Netw. Model. Anal. Health Informatics Bioinform. 12(1) (2023) - [c14]Sarada Prasad Dakua, Snigdha Mohanty, Subhashree Mishra, Sudhansu Sekhar Singh, Julien Abinahed, Abdulla Al-Ansari:
Role of Liver Registration in Hepatocellular Carcinoma Treatment Planning. BigDataService 2023: 79-86 - [c13]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua:
A Close-Up on the AI Radiologist Software. ICCSA (2) 2023: 431-440 - [c12]Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Dima Masri, Sarada Prasad Dakua:
Neural Network-based Fast Liver Ultrasound Image Segmentation. IJCNN 2023: 1-8 - 2022
- [j16]Snigdha Mohanty, Sarada Prasad Dakua:
Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration. IEEE Access 10: 24528-24539 (2022) - [j15]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:
Practical utility of liver segmentation methods in clinical surgeries and interventions. BMC Medical Imaging 22(1): 97 (2022) - [j14]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:
Correction: Practical utility of liver segmentation methods in clinical surgeries and interventions. BMC Medical Imaging 22(1): 141 (2022) - [c11]Snigdha Mohanty, Julien Abinahed, Abdulla Al-Ansari, Subhashree Mishra, Sudhansu Sekhar Singh, Sarada Prasad Dakua:
Towards Developing a Liver Segmentation Method for Hepatocellular Carcinoma Treatment Planning. INDIN 2022: 95-100 - [c10]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua:
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR. ISPR 2022: 204-212 - [i3]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua:
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR. CoRR abs/2202.06373 (2022) - 2021
- [i2]Ayman Al-Kababji, Faycal Bensaali, Sarada Prasad Dakua:
Automated liver tissues delineation based on machine learning techniques: A survey, current trends and future orientations. CoRR abs/2103.06384 (2021) - 2020
- [j13]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:
Lattice-Boltzmann interactive blood flow simulation pipeline. Int. J. Comput. Assist. Radiol. Surg. 15(4): 629-639 (2020) - [j12]Xiaojun Zhai, Minsi Chen, Sahar Soheilian Esfahani, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Robin A. Richardson, Peter V. Coveney:
Heterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System. IEEE Syst. J. 14(2): 1592-1601 (2020) - [c9]Alhusain Abdalla, Nouraldeen Ahmed, Sarada Dakua, Shidin Balakrishnan, Julien Abinahed:
A Surgical-Oriented Liver Segmentation Approach Using Deep Learning. ICIoT 2020: 318-322
2010 – 2019
- 2019
- [j11]Sarada Prasad Dakua, Julien Abinahed, Ayman Zakaria, Shidin Balakrishnan, Georges Younes, Nikhil V. Navkar, Abdulla Al-Ansari, Xiaojun Zhai, Faycal Bensaali, Abbes Amira:
Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2165-2176 (2019) - [j10]Xiaojun Zhai, Abbes Amira, Faycal Bensaali, AlMaha Al-Shibani, Asma Al-Nassr, Asmaa El-Sayed, Mohammad Eslami, Sarada Prasad Dakua, Julien Abinahed:
Zynq SoC based acceleration of the lattice Boltzmann method. Concurr. Comput. Pract. Exp. 31(17) (2019) - [c8]Sahar Soheilian Esfahani, Peter V. Coveney, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Robin A. Richardson:
Hemelb Acceleration and Visualization for Cerebral Aneurysms. ICIP 2019: 1376-1380 - [i1]Sahar Soheilian Esfahani, Xiaojun Zhai, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien Abinahed, Sarada Dakua, Georges Younes, Robin A. Richardson, Peter V. Coveney:
HEMELB Acceleration and Visualization for Cerebral Aneurysms. CoRR abs/1906.11925 (2019) - 2018
- [j9]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:
Real-time automated image segmentation technique for cerebral aneurysm on reconfigurable system-on-chip. J. Comput. Sci. 27: 35-45 (2018) - [j8]Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari:
A PCA-based approach for brain aneurysm segmentation. Multidimens. Syst. Signal Process. 29(1): 257-277 (2018) - [c7]Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari, Pablo Garcia Bermejo, Ayaman Zakaria, Abbes Amira, Faycal Bensaali:
A Method Towards Cerebral Aneurysm Detection in Clinical Settings. SaMBa@MICCAI 2018: 8-15 - 2017
- [j7]Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari:
Cellular automata-based left ventricle reconstruction from magnetic resonance images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(1): 54-67 (2017) - 2016
- [j6]Sarada Prasad Dakua, Julien Abinahed, Abdulla Al-Ansari:
Pathological liver segmentation using stochastic resonance and cellular automata. J. Vis. Commun. Image Represent. 34: 89-102 (2016) - 2015
- [j5]Sarada Prasad Dakua:
LV Segmentation Using Stochastic Resonance and Evolutionary Cellular Automata. Int. J. Pattern Recognit. Artif. Intell. 29(3): 1557002:1-1557002:26 (2015) - 2014
- [j4]Sarada Prasad Dakua:
Annularcut: A graph-cut design for left ventricle segmentation from magnetic resonance images. IET Image Process. 8(1): 1-11 (2014) - 2013
- [j3]Sarada Prasad Dakua:
Performance divergence with data discrepancy: a review. Artif. Intell. Rev. 40(4): 429-455 (2013) - [j2]Sarada Prasad Dakua, Julien Abi-Nahed:
Patient oriented graph-based image segmentation. Biomed. Signal Process. Control. 8(3): 325-332 (2013) - [j1]Sarada Prasad Dakua:
Use of chaos concept in medical image segmentation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 1(1): 28-36 (2013) - [c6]Sarada Prasad Dakua, Julien Abi-Nahed, Abdulla Al-Ansari:
Self Stabilization of Image Attributes for Left Ventricle Segmentation. STACOM 2013: 244-252 - 2012
- [c5]Sarada Prasad Dakua, Julien Abi-Nahed:
Contrast enhancement in wavelet domain for graph-based segmentation in medical imaging. ICVGIP 2012: 76 - 2011
- [c4]Sarada Prasad Dakua, Jyotinder Sahambi:
Weighting function in Random Walk based left ventricle segmentation. ICIP 2011: 2133-2136
2000 – 2009
- 2009
- [c3]Sarada Dakua, Jyotinder Sahambi:
Left Ventricular Contour Extraction from Cardiac MR Images using CB and Random Walks Approach. NaBIC 2009: 276-281 - [c2]Sarada Dakua, Jyotinder Sahambi:
Effect of Beta in Random Walk Approach for LV Contour Extraction. NaBIC 2009: 890-895 - 2008
- [c1]Sarada Prasad Dakua, J. S. Sahambi:
A Level Set Method for Cardiac Magnetic Resonance Image Segmentation: An Adaptive Approach. ICIIS 2008: 1-6
Coauthor Index
aka: Julien Abi-Nahed
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