Prathima Radhakrishnan

Publication Activity (10 Years)

Years Active: 2022-2022
Publications (10 Years): 4

Top Topics

Automated Segmentation

Brain Structures

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Hari 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
Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep Learning Model For The Accurate Caliper Placement To Obtain Sonographic Measurements Of The Fetal Brain. CoRR (2022)
Hari 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
Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain. ISBI (2022)
Abhi 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
Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation. Medical Imaging: Computer-Aided Diagnosis (2022)
Abhi 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
Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation. CoRR (2022)