Transfer Learning Enhanced Full Waveform Inversion

no code implementations • 22 Feb 2023 • Stefan Kollmannsberger, Divya Singh, Leon Herrmann

We propose a way to favorably employ neural networks in the field of non-destructive testing using Full Waveform Inversion (FWI).

Transfer Learning

Leveraging Clinically Relevant Biometric Constraints To Supervise A Deep Learning Model For The Accurate Caliper Placement To Obtain Sonographic Measurements Of The Fetal Brain

no code implementations • 28 Mar 2022 • Hari Shankar, Adithya Narayan, Shefali Jain, Divya Singh, Pooja Vyas, Nivedita Hegde, Purbayan Kar, Abhi Lad, Jens Thang, Jagruthi Atada, Duy Nguyen, PS Roopa, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla

Multiple studies have demonstrated that obtaining standardized fetal brain biometry from mid-trimester ultrasonography (USG) examination is key for the reliable assessment of fetal neurodevelopment and the screening of central nervous system (CNS) anomalies.

Data Augmentation

Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation

no code implementations • 28 Feb 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

Quality assessment of prenatal ultrasonography is essential for the screening of fetal central nervous system (CNS) anomalies.

Anatomy Data Augmentation +2