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Ida Häggström
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2020 – today
- 2024
- [c5]Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström:
Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification. MICCAI (10) 2024: 318-328 - [i6]Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström:
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification. CoRR abs/2407.02926 (2024) - 2023
- [c4]Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach:
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. MLMI@MICCAI (2) 2023: 293-302 - 2022
- [i5]Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs:
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR abs/2206.10573 (2022) - [i4]Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs:
Deep conditional transformation models for survival analysis. CoRR abs/2210.11366 (2022) - 2021
- [c3]Charles Ross Schmidtlein, Matthew Maroun, Andrzej Król, Howard C. Gifford, Lisa Bodei, Joseph O'Donoghue, Ida Häggström, Yuesheng Xu, Si Li:
A deblurring/denoising corrected scintigraphic planar image reconstruction model for targeted alpha therapy. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [i3]Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M. Fung, Zhigang Zhang, Ricardo Otazo, Herbert Alberto Vargas, Oguz Akin:
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study. CoRR abs/2007.00121 (2020)
2010 – 2019
- 2019
- [j1]Ida Häggström, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs:
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. Medical Image Anal. 54: 253-262 (2019) - [i2]Ida Häggström, Yizun Lin, Si Li, Andrzej Król, Yuesheng Xu, Charles Ross Schmidtlein:
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization. CoRR abs/1906.05897 (2019) - 2018
- [c2]Hassan Muhammad, Ida Häggström, David S. Klimstra, Thomas J. Fuchs:
Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 187-192 - [i1]Ida Haeggstroem, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs:
DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem. CoRR abs/1804.07851 (2018) - 2016
- [c1]Charles Ross Schmidtlein, James N. Turner, Michael O. Thompson, Krishna C. Mandal, Ida Häggström, Jiahan Zhang, John L. Humm, David H. Feiglin, Andrzej Król:
Performance modeling of a wearable brain PET (BET) camera. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978806
Coauthor Index
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last updated on 2024-11-06 20:31 CET by the dblp team
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