Introduction to Radiomics ME Mayerhoefer, A Materka, G Langs, I Häggström, P Szczypinski, ... The Journal of Nuclear Medicine, 2020 | 901 | 2020 |
DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem I Häggström, CR Schmidtlein, G Campanella, TJ Fuchs Medical Image Analysis 54, 2019 | 283 | 2019 |
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem I Häggström, CR Schmidtlein, G Campanella, TJ Fuchs Biomedical and Astronomical Signal Processing Frontiers Workshop, 2019 | 283 | 2019 |
PETSTEP: generation of synthetic PET lesions for fast evaluation of segmentation methods B Berthon, I Häggström, A Apte, BJ Beattie, AS Kirov, JL Humm, ... Physica Medica 31 (8), 969-980, 2015 | 36 | 2015 |
Accelerating prostate diffusion-weighted MRI using a guided denoising convolutional neural network: retrospective feasibility study EA Kaye, EA Aherne, C Duzgol, I Häggström, E Kobler, Y Mazaheri, ... Radiology: Artificial Intelligence 2 (5), e200007, 2020 | 28 | 2020 |
Dynamic PET simulator via tomographic emission projection for kinetic modeling and parametric image studies I Häggström, BJ Beattie, CR Schmidtlein Medical Physics 43 (6Part1), 3104-3116, 2016 | 27 | 2016 |
Monolithic Bragg-locked Nd:GdVO4 laser I Häggström, B Jacobsson, F Laurell Optics express 15 (18), 11589-11594, 2007 | 26 | 2007 |
Initial performance studies of a wearable brain positron emission tomography camera based on autonomous thin-film digital Geiger avalanche photodiode arrays CR Schmidtlein, JN Turner, MO Thompson, KC Mandal, I Häggström, ... Journal of Medical Imaging 4 (1), 011003-011003, 2017 | 15 | 2017 |
Impact of ComBat harmonization on PET radiomics-based tissue classification: a dual-center PET/MRI and PET/CT study D Leithner, H Schöder, A Haug, HA Vargas, P Gibbs, I Häggström, ... Journal of Nuclear Medicine 63 (10), 1611-1616, 2022 | 14 | 2022 |
Deep encoder-decoder models for reconstructing biomedical images TC Fuchs, I Häggström, CR Schmidtlein US Patent App. 17/040,416, 2021 | 13 | 2021 |
A Monte Carlo study of the dependence of early frame sampling on uncertainty and bias in pharmacokinetic parameters from dynamic PET I Häggström, J Axelsson, CR Schmidtlein, M Karlsson, A Garpebring, ... Journal of nuclear medicine technology 43 (1), 53-60, 2015 | 12 | 2015 |
Compartment modeling of dynamic brain PET—The impact of scatter corrections on parameter errors I Häggström, CR Schmidtlein, M Karlsson, A Larsson Medical physics 41 (11), 111907, 2014 | 11 | 2014 |
Performance modeling of a wearable brain PET (BET) camera CR Schmidtlein, JN Turner, MO Thompson, KC Mandal, I Häggström, ... Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and …, 2016 | 8 | 2016 |
H&E-based computational biomarker enables universal EGFR screening for lung adenocarcinoma G Campanella, D Ho, I Häggström, AS Becker, J Chang, C Vanderbilt, ... arXiv preprint arXiv:2206.10573, 2022 | 7 | 2022 |
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem I Haeggstroem, CR Schmidtlein, G Campanella, TJ Fuchs arXiv preprint arXiv:1804.07851, 2018 | 5 | 2018 |
Quantitative methods for tumor imaging with dynamic PET I Häggström Umeå Universitet, 2014 | 5 | 2014 |
Survival modeling of pancreatic cancer with radiology using convolutional neural networks H Muhammad, I Häggström, DS Klimstra, TJ Fuchs Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis …, 2018 | 4 | 2018 |
Semi-automatic tumour segmentation by selective navigation in a three-parameter volume, obtained by voxel-wise kinetic modelling of 11C-acetate I Häggström, L Johansson, A Larsson, N Östlund, J Sörensen, M Karlsson Radiation protection dosimetry 139 (1-3), 214-218, 2010 | 4 | 2010 |
Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol H Jalo, M Seth, M Pikkarainen, I Häggström, K Jood, A Bakidou, ... BMJ open 13 (5), e069660, 2023 | 2 | 2023 |
Deep conditional transformation models for survival analysis G Campanella, L Kook, I Häggström, T Hothorn, TJ Fuchs arXiv preprint arXiv:2210.11366, 2022 | 2 | 2022 |