Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain

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. In 19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022. pages 1-5, IEEE, 2022. [doi]

@inproceedings{ShankarNJSVHKLT22,
  title = {Leveraging Clinically Relevant Biometric Constraints to Supervise a Deep Learning Model for the Accurate Caliper Placement to Obtain Sonographic Measurements of the Fetal Brain},
  author = {Hari Shankar and Adithya Narayan and Shefali Jain and Divya Singh and P. Vyas and Nivedita Hegde and J. P. Kar and Abhi Lad and Jens Thang and Jagruthi Atada and D. Nguyen and Roopa PS and Akhila Vasudeva and Prathima Radhakrishnan and Sripad Krishna Devalla},
  year = {2022},
  doi = {10.1109/ISBI52829.2022.9761493},
  url = {https://doi.org/10.1109/ISBI52829.2022.9761493},
  researchr = {https://researchr.org/publication/ShankarNJSVHKLT22},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {19th IEEE International Symposium on Biomedical Imaging, ISBI 2022, Kolkata, India, March 28-31, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-2923-8},
}