Aprinda Indahlastari

According to our database, Aprinda Indahlastari authored at least 6 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

DOMINO: Domain-aware loss for deep learning calibration.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang

Softw. Impacts, March, 2023

DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation.

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2018

Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study.

Munish Chauhan, Aprinda Indahlastari, Aditya K. Kasinadhuni, Michael Schär, Thomas H. Mareci, Rosalind J. Sadleir

IEEE Trans. Medical Imaging, 2018

2016

Projected current density comparison in tDCS block and smooth FE modeling.

Aprinda Indahlastari, Munish Chauhan, Rosalind J. Sadleir

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A comparison between block and smooth modeling in finite element simulations of tDCS.

Aprinda Indahlastari, Rosalind J. Sadleir

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015