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Ida Häggström
Affiliated to Research
Department of Medical Radiation Sciences-
Early detection of metastatic risk in primary cutaneous melanoma using weakly supervised
learning
Filip Dahlén, Ivan Shujski, Filmon Yacob, Ida Häggström, Jovana Jovanovic, Olga Dudina, Ilkka Polonen, Noora Neittaanmäki
SCIENTIFIC REPORTS - 2026 -
Brain metastasis in stage IV lung adenocarcinoma is frequently missed by symptom-based
screening
Sama Sayin, Ella Äng, Moa Beischer, Torill Moe, Kevin Ali, Kerstin Gunnarsson, Moe Xylander, Lars Ny, Asgeir Jakola, Ida Häggström, Clotilde Wiel, Andreas Hallqvist, Volkan Sayin
Discover Oncology - 2026 -
Patch-Level Attribution of Multimodal Fracture Risk
Prediction
Victor Wåhlstrand, Erik Blomqvist, Jennifer Alvén, Lisa Johansson, Mattias Lorentzon, Ida Häggström
Lecture Notes in Computer Science - 2026 -
A Flexible Deep Learning Framework for Survival Analysis with Medical
Data
Gabriele Campanella, Ida Häggström, Lucas Kook, Torsten Hothorn, Thomas J. Fuchs
Lecture Notes in Computer Science - 2026 -
Separable Tissue Representations for Attributable Risk
Prediction
Victor Wåhlstrand, Jennifer Alvén, Lisa Johansson, Kristian Axelsson, Mattias Lorentzon, Ida Häggström
Lecture Notes in Computer Science - 2026 -
Survival prediction with radiomics for patients with IDH mutated lower-grade
glioma
Alice Neimantaite, Louise Carstam, Tomás Gómez Vecchio, Ida Häggström, Tora Dunås, Francesco Latini, Maria Zetterling, Malin Blomstrand, Jiri Bartek, Margret Jensdottir, Erik Thurin, Anja Smits, Asgeir Store Jakola
JOURNAL OF NEURO-ONCOLOGY - 2025 -
Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker
detection.
Gabriele Campanella, Neeraj Kumar, Swaraj Nanda, Siddharth Singi, Eugene Fluder, Ricky Kwan, Silke Muehlstedt, Nicole Pfarr, Peter J Schüffler, Ida Häggström, Noora Neittaanmäki, Levent Akyürek, Alina Basnet, Tamara Jamaspishvili, Michel R Nasr, Matthew M Croken, Fred R Hirsch, Arielle Elkrief, Helena Yu, Orly Ardon, Gregory M Goldgof, Meera Hameed, Jane Houldsworth, Maria Arcila, Thomas J Fuchs, Chad Vanderbilt
Nature Medicine - 2025 -
Impact of deep learning model uncertainty on manual corrections to MRI-based auto-segmentation in prostate cancer
radiotherapy
Viktor Rogowski, Angelica Svalkvist, Matteo Maspero, Tomas Janssen, Federica Carmen Maruccio, Jenny Gorgisyan, Jonas Scherman, Ida Häggström, Victor Wahlstrand, Adalsteinn Gunnlaugsson, Martin P. Nilsson, Mathieu Moreau, Nandor Vass, Niclas Pettersson, Christian Jamtheim Gustafsson
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS - 2025 -
Breathing motion compensation in chest tomosynthesis: evaluation of the effect on image quality and presence of
artifacts.
Maral Mirzai, Jenny Vikgren, Patrik Sund, Rauni Rossi-Norrlund, Micael Oliveira Diniz, Bengt Gottfridsson, Ida Häggström, Åse (Allansdotter) Johnsson, Magnus Båth, Angelica Svalkvist
Journal of Medical Imaging - 2025 -
Clinical application of machine-based deep learning in patients with radiologically presumed adult-type diffuse glioma grades 2 or
3
Tomás Gómez Vecchio, Alice Neimantaite, Erik Thurin, Julia Furtner, Ole Solheim, Johan Pallud, Mitchel Berger, Georg Widhalm, Jiri Bartek, Ida Häggström, Irene Y. H. Gu, Asgeir Store Jakola
NEURO-ONCOLOGY ADVANCES - 2024