Ida Häggström

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 10

Top Topics

Image Reconstruction

Transformation Model

Convolutional Neural Networks

Positron Emission Tomography

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

MLMI@MICCAI (2)

Medical Image Anal.

Publications

Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification. CoRR (2024)
Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. MLMI@MICCAI (2) (2023)
Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs
Deep conditional transformation models for survival analysis. CoRR (2022)
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 (2022)
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)
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 (2020)
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 (2019)
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 (2019)
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)
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)