Performance modeling of a wearable brain PET (BET) camera. - Charles Ross Schmidtlein; James N. Turner; Michael O. Thompson; Krishna C. Mandal; Ida Häggström; Jiahan Zhang; John L. Humm; David H. Feiglin; Andrzej Król (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks. - Hassan Muhammad; Ida Häggström; David S. Klimstra; Thomas J. Fuchs (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

DeepRec: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem. - Ida Haeggstroem; Charles Ross Schmidtlein; Gabriele Campanella; Thomas J. Fuchs (CoRR, 2018)

Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization. - Ida Häggström; Yizun Lin; Si Li; Andrzej Król; Yuesheng Xu; Charles Ross Schmidtlein (CoRR, 2019)

DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem. - Ida Häggström; Charles Ross Schmidtlein; Gabriele Campanella; Thomas J. Fuchs (Medical Image Anal., 2019)

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study. - 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 (CoRR, 2020)

A deblurring/denoising corrected scintigraphic planar image reconstruction model for targeted alpha therapy. - Charles Ross Schmidtlein; Matthew Maroun; Andrzej Król; Howard C. Gifford; Lisa Bodei; Joseph O'Donoghue; Ida Häggström; Yuesheng Xu; Si Li (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. - Gabriele Campanella; David Joon Ho; Ida Häggström; Anton S. Becker; Jason Chang; Chad M. Vanderbilt; Thomas J. Fuchs (CoRR, 2022)

Deep conditional transformation models for survival analysis. - Gabriele Campanella; Lucas Kook; Ida Häggström; Torsten Hothorn; Thomas J. Fuchs (CoRR, 2022)

Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. - Xixi Liu 001; Jennifer Alvén; Ida Häggström; Christopher Zach (MLMI@MICCAI (2), 2023)

Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification. - Victor Wåhlstrand Skärström; Lisa Johansson; Jennifer Alvén; Mattias Lorentzon; Ida Häggström (MICCAI (10), 2024)