Kalle Åström

Minimal Solvers for Point Cloud Matching with Statistical Deformations

A. Heyden, Gabrielle Flood, Erik Tegler, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Extending GCC-PHAT using Shift Equivariant Neural Networks

M. Oskarsson, Kalle Åström, Magnus Oskarsson, 2022, INTERSPEECH.

Better Prior Knowledge Improves Human-Pose-Based Extrinsic Camera Calibration

Kalle Åström, Sangxia Huang, Olivier Moliner, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Aerial View Goal Localization with Reinforcement Learning

Aleksis Pirinen, A. Samuelsson, John Backsund, 2022, ArXiv.

Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases

K. Blennow, O. Hansson, S. Janelidze, 2023, bioRxiv.

Extension of Time-Difference-of-Arrival Self Calibration Solutions Using Robust Multilateration

Magnus Oskarsson, Kalle Åström, Gabrielle Flood, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Estimates of Temporal Edge Detection Filters in Human Vision

Kalle Åström, P. Ebelin, Gyorgy Denes, 2023, ACM Transactions on Applied Perception.

Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue

Aleksis Pirinen, A. Samuelsson, John Backsund, 2022, SAIS.

Artificial intelligence for detection of prostate cancer in biopsies during active surveillance.

A. Krzyzanowska, F. Marginean, A. Simoulis, 2024, BJU international.

A machine learning-based prediction of tau load and distribution in Alzheimer’s disease using plasma, MRI and clinical variables

K. Blennow, S. Janelidze, S. Palmqvist, 2024, medRxiv.