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- Ida Häggström
Ida Häggström
Affiliated to Research
Department of Medical Radiation Sciences-
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