Ingvild Askim Adde

- PhD candidate
Institutt for teknologi
Fakultet for helse og teknologi

ingvildaskim.adde@kristiania.no

Ansatte detaljer

Vitenskapelige publikasjoner
Adde, Ingvild Askim, Forsch, Nickolas, Molly, Maleckar,, Monopoli, Giulia, Eva, Schuijt,, Diana, Vucevic, & Nina, Ziegenbein, (2026). A Statistical Shape Modeling Pipeline for Assessing Arrhythmic Risk in Mitral Valve Disease Patients. Springer. ISBN 9783032288264. doi:
10.1007/978-3-032-28826-4_3

Knuth, Franziska Hanna, Adde, Ingvild Askim, Huynh, Bao Ngoc, Grøndahl, Aurora Rosvoll, Winter, René, Negård, Anne, Holmedal, Stein Harald, Meltzer, Sebastian, Ree, Anne Hansen, Flatmark, Kjersti, Dueland, Svein, Hole, Knut Håkon, Seierstad, Therese, Redalen, Kathrine & Futsæther, Cecilia Marie (2021). MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts. Acta Oncologica. ISSN 0284-186X. 61(2) s 255-263. doi:
10.1080/0284186X.2021.2013530
Formidling
Adde, Ingvild Askim, Maleckar, Mary Margot Catherine & Balaban, Gabriel (2026). Physics-Informed Neural Networks for Reconstruction of Cardiac Electrophysiology on a Realistic Left Atrial Geometry.
Adde, Ingvild Askim, Maleckar, Mary Margot Catherine & Balaban, Gabriel (2026). Reconstructing Cardiac Electrophysiology on a Left Atrial Geometry using Physics-Informed Neural Networks.
Adde, Ingvild Askim, Maleckar, Mary Margot Catherine & Balaban, Gabriel (2026). Latent PDE mapping for physics-informed learning across geometries with limited data.