Publications
2023
Developing a spontaneous speech-based artificial intelligence for Alzheimer’s disease detection
Laurine Dargaud, Abhista Partal, Anton Birn, Nicki Skafte Detlefsen
To be released in Journal of the International Society for Telemedicine and eHealth
Neuro-Tech Revolution: AI-EEG Integration for Advanced Depression Diagnosis
Bekarys Gabdrakhimov, Nicki Skafte Detlefsen, Cihan Uyanik, Osama Ejaz, Muhammed Ahmed Khan, Muhammad Abul Hasan, Saad Ahmed Qazi, Sadasivan Puthusserypady
Preprint available, under review
2022
Laplacian Autoencoders for Learning Stochastic Representations
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicke Skafte Detlefsen, Søren Hauberg
In Advances in Neural Information Processing Systems (Neurips) 2022
Is an encoder within reach?
Helene Hauschultz, Rasmus Berg Palm. Pablo Moreno-Muños, Nicki Skafte Detlefsen, Andrew Allan du Plessis, Søren Hauberg
arXiv, 2022.
What is a meaningful representation of protein sequences?
Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
In Nature Communications, 2022
2021
TorchMetrics - Measuring Reproducibility in PyTorch
Nicki Skafte Detlefsen, Jiri Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stanc, Changsheng Quan, Maxim Grechkin, and William Falcon
In Journal of Open Source Software (JOSS), 2021
2020
Developing and validating COVID‑19 adverse outcome risk prediction models from a bi‑national European cohort of 5594 patients
Espen Jimenez-Solem, Tonny S Petersen, Christina Lioma, Christian Igel, Wouter Boomsma, Oswin Krause, Casper Hansen, Christian Hansen, Stephan Lorenzen, Raghavendra Selvan, Janne Petersen, Martin Erik Nyeland, Mikkel Zöllner Ankarfeldt, Gert Mehl Virenfeldt, Anne Helms Andreasen, Matilde Winther-Jensen, Mostafa Ghazi, Nicki S. Detlefsen, Andreas Lauritsen, Abraham Smith, Marleen de Bruijne, Bulat Ibragimov, Jens Petersen, Martin Lillholm, Jon Middleton, Stine Hasling Mogensen, Hans-Christian Thorsen-Meyer, Anders Perner, Maria Helleberg, Benjamin Skov Kaas-Hansen, Alexander Bonde, Akshay Pai, Mads Nielsen Martin Sillesen
In Scientific Reports, Nature 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation
Raghavendra Selvan, Erik B. Dam, Nicki Skafte Detlefsen, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
In ICML Workshop on Learning from Missing Data (Artemiss) 2020
2019
Reliable training and estimation of variance networks
Nicki Skafte Detlefsen, Martin Jørgensen, Søren Hauberg
In Advances in Neural Information Processing Systems (Neurips) 2019
Explicit Disentanglement of Appearance and Perspective in Generative Models
Nicki Skafte Detlefsen, Søren Hauberg
In Advances in Neural Information Processing Systems (Neurips) 2019
Diffeomorphic Temporal Alignment Nets
Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld
In Advances in Neural Information Processing Systems (Neurips) 2019
2018
Deep Diffeomorphic Transformer Networks
Nicki Skafte Detlefsen, Søren Hauberg, Oren Freifeld
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018