Akhila Vasudeva - researchr alias

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Viewing Publication 1 - 4 from 4

2022

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic UnderstandingAnjan Gudigar, U. Raghavendra, Jyothi Samanth, Akhila Vasudeva, Ashwal A. A. J., Krishnananda Nayak, Ru San Tan, Edward J. Ciaccio, Ooi Chui Ping, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. informatics, 9(2):34, 2022. [doi]

Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validationAbhi Lad, Adithya Narayan, Hari Shankar, Shefali Jain, Pooja Punjani Vyas, Divya Singh, Nivedita Hegde, Jagruthi Atada, Jens Thang, Saw Shier Nee, Arunkumar Govindarajan, Roopa PS, Muralidhar V. Pai, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla. micad 2022: [doi]

Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal BrainHari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, P. Vyas, Nivedita Hegde, J. P. Kar, Abhi Lad, Jens Thang, Jagruthi Atada, D. Nguyen, Roopa PS, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla. isbi 2022: 1-5 [doi]

2020

Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac ImageAnjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, Padmakumar R, Ru San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya. access, 8:229043-229051, 2020. [doi]

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