Ida Häggström

15 papers Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Exemplar Diffusion: Improving Medical Object Detection with Opportunistic Labels.
CoRR
Victor Wåhlstrand Skärström, Jennifer Alvén, Ida Häggström
2025 — conf
A Flexible Deep Learning Framework for Survival Analysis with Medical Data.
MICCAI (15)
Gabriele Campanella, Ida Häggström, Lucas Kook, Torsten Hothorn, Thomas J. Fuchs
2025 — conf
Patch-Level Attribution of Multimodal Fracture Risk Prediction.
MLMI@MICCAI
Victor Wåhlstrand Skärström, Erik Blomqvist, Jennifer Alvén, Lisa Johansson, Mattias Lorentzon, Ida Häggström
2025 — conf
Separable Tissue Representations for Attributable Risk Prediction.
MICCAI (14)
Victor Wåhlstrand Skärström, Jennifer Alvén, Lisa Johansson, Kristian Axelsson, Mattias Lorentzon, Ida Häggström
2024 — conf
Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification.
MICCAI (10)
Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström
2024 J jnl
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification.
CoRR
Victor Wåhlstrand Skärström, Lisa Johansson, Jennifer Alvén, Mattias Lorentzon, Ida Häggström
2023 — conf
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays.
MLMI@MICCAI (2)
Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach
2022 J jnl
Deep conditional transformation models for survival analysis.
CoRR
Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs
2022 J jnl
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma.
CoRR
Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs
2021 — conf
A deblurring/denoising corrected scintigraphic planar image reconstruction model for targeted alpha therapy.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Charles Ross Schmidtlein, Matthew Maroun, Andrzej Król, Howard C. Gifford, Lisa Bodei, Joseph O'Donoghue, Ida Häggström, Yuesheng Xu, Si Li
2020 J jnl
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study.
CoRR
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
2019 J jnl
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.
Medical Image Anal.
Ida Häggström, Charles Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs
2019 J jnl
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization.
CoRR
Ida Häggström, Yizun Lin, Si Li, Andrzej Król, Yuesheng Xu, Charles Ross Schmidtlein
2018 — conf
Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks.
POCUS/BIVPCS/CuRIOUS/CPM@MICCAI
Hassan Muhammad, Ida Häggström, David S. Klimstra, Thomas J. Fuchs
2016 — conf
Performance modeling of a wearable brain PET (BET) camera.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Charles Ross Schmidtlein, James N. Turner, Michael O. Thompson, Krishna C. Mandal, Ida Häggström, Jiahan Zhang, John L. Humm, David H. Feiglin, Andrzej Król