Aprinda Indahlastari

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 8

Top Topics

Top Venues

IEEE Trans. Medical Imaging

Publications

Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability. CoRR (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Loss for Deep Learning Calibration. CoRR (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. MICCAI (4) (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware loss for deep learning calibration. Softw. Impacts 15 (2023)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation. CoRR (2022)
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang
DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. MICCAI (5) (2022)
Munish Chauhan, Aprinda Indahlastari, Aditya K. Kasinadhuni, Michael Schär, Thomas H. Mareci, Rosalind J. Sadleir
Low-Frequency Conductivity Tensor Imaging of the Human Head In Vivo Using DT-MREIT: First Study. IEEE Trans. Medical Imaging 37 (4) (2018)
Aprinda Indahlastari, Munish Chauhan, Rosalind J. Sadleir
Projected current density comparison in tDCS block and smooth FE modeling. EMBC (2016)
Aprinda Indahlastari, Rosalind J. Sadleir
A comparison between block and smooth modeling in finite element simulations of tDCS. EMBC (2015)