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Publications

50 latest publications

[1]
A. A. Yetisgin et al., "Thrombolytic potential of the "hydrodynamic cavitation on a chip" concept : insights into clot degradation," Lab on a Chip, vol. 26, no. 1, pp. 24-39, 2026.
[2]
H. R. Kanan, A. Adelöw and M. Colarieti-Tosti, "Cross-Domain Reconstruction Network Incorporating Sinogram Sinusoidal-Structure Transformer Denoiser and UNet for Low-Dose/Low-Count Sinograms," IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 10, no. 1, pp. 74-87, 2026.
[3]
X. Yue et al., "Morphology-enhanced CAM-guided SAM for weakly supervised breast lesion segmentation," Biomedical Signal Processing and Control, vol. 116, 2026.
[4]
Z. Yang et al., "Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification," Frontiers in Digital Health, vol. 7, 2026.
[5]
F. Beltran et al., "Numerical Simulation of Steady and Pulsatile Flows Around Vascular Closure Devices: Implications for Thrombosis," Journal of Endovascular Therapy, 2026.
[6]
Z. Huang et al., "MedSegAgent : A Universal and Scalable Multi-Agent System for Instructive Medical Image Segmentation," IEEE journal of biomedical and health informatics, 2026.
[7]
K. Ahlgren et al., "The nature of trehalose-protein interactions in aqueous solutions revealed by neutron scattering," Nanoscale, vol. 18, no. 16, pp. 8609-8621, 2026.
[8]
S. Bendazzoli and R. Moreno, "BraTS-FL: Enhancing Generalization in Brain Tumor Segmentation via Federated Learning," in Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries - MICCAI 2025 Challenges: BraTS-Lighthouse 2025 and AIMS-TBI 2025, Held in Conjunction with MICCAI 2025, Proceedings, 2026, pp. 481-488.
[9]
J. Malmqvist et al., "Development and validation of a novel deep learning coronary artery plaque quantification model," BMC Medical Imaging, vol. 26, no. 1, 2026.
[10]
M. Siegbahn et al., "White Matter Tracts of the Auditory Pathways in Experimental Unilateral Ear Canal Atresia," Otology and Neurotology, vol. 47, no. 6, pp. e868-e874, 2026.
[11]
Z. Yang et al., "Transformer-Based Foundation Model for Universal Ultrasound Image Analysis," in ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging, 2026.
[12]
E. Paccagnella et al., "Magnetic Resonance Elastography : Predicting Brain Stiffness in Parkinson's Disease Patients from Multidimensional Diffusion Mri," in ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging, 2026.
[13]
S. Bendazzoli et al., "Anatomy-aware lymphoma lesion detection in whole-body PET/CT," Frontiers in Oncology, vol. 16, 2026.
[14]
F. L. Sinzinger et al., "Impact of tractogram filtering and graph creation for structural connectomics in subjects with Parkinson's disease," Frontiers in Human Neuroscience, vol. 20, 2026.
[15]
S. Persson et al., "Explainable AI for MRI Alzheimer’s disease classification : A comparative analysis," NeuroImage, vol. 338, 2026.
[16]
T. Nilsson et al., "Kinetic modelling of [⁶⁸Ga]Ga-FAPI-46 PET in pancreaticobiliary lesions : distinguishing cancer from pancreatitis," European Journal of Nuclear Medicine and Molecular Imaging, vol. 53, no. 9, pp. 5549-5559, 2026.
[17]
A.-L. Sahlberg et al., "Defining Safe Light Intensity Limits of Near-Infrared Illumination Avoiding Skin Heating in Medical Optical Diagnostic Methods," Journal of Biophotonics, vol. 19, no. 7, 2026.
[18]
K. Rönnegård et al., "Venous Response to Tourniquet Pressure in Children : Implications for Peripheral Intravenous Access," Acta Paediatrica, vol. 115, no. 8, pp. 1791-1797, 2026.
[19]
N. De Bie et al., "MHC Matchmaker : An in silico based algorithm to analyze cross-species NHP, pig, and human MHC compatibility on the amino acid level," American Journal of Transplantation, vol. 26, no. 6, pp. 1329-1338, 2026.
[20]
J. S. Aunan-Diop et al., "Elasticity-guided tumor resection : applying biomechanical information to neurosurgical practice," Acta Neurochirurgica, vol. 168, no. 1, 2026.
[21]
S. Zheng et al., "Editorial : Artificial intelligence advancing lung cancer screening and treatment," Frontiers in Oncology, vol. 16, 2026.
[22]
C. Lambrechts et al., "Multimodal characterisation of skeletal muscle properties in children with and without cerebral palsy using a non-invasive approach: an observational study protocol," BMJ Open, vol. 16, no. 7, pp. e120234, 2026.
[23]
F. Sinzinger et al., "Leveraging rotational equivariance for reinforcement learning in tractography," Medical Image Analysis, vol. 114, 2026.
[24]
A. Adelöw et al., "Dual-domain transformer-based learned primal-dual reconstruction for PET imaging," Frontiers in Nuclear Medicine, vol. 6, 2026.
[25]
E. Bäcklin et al., "Added Value of Expiratory CT in Chronic Airflow Limitation," Respiratory Medicine, vol. 263, 2026.
[26]
E. Bäcklin, "Quantitative Computed Tomography in Health and Chronic Airflow Limitation: Regional Analysis and Deep Learning Methods," Doctoral thesis Huddinge : Karolinska Institutet, TRITA-CBH-FOU, 2026:32, 2026.
[27]
J. Gao et al., "Force density method's energy principle and application in membrane-cable-strut-beam hybrid structures," Journal of Building Engineering, vol. 99, 2025.
[28]
J. Xu et al., "Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge," IEEE journal of biomedical and health informatics, vol. 29, no. 3, pp. 1995-2005, 2025.
[29]
W. Häger et al., "Role of modeled high-grade glioma cell invasion and survival on the prediction of tumor progression after radiotherapy," Physics in Medicine and Biology, vol. 70, no. 6, 2025.
[30]
T. Nordenfur et al., "Safety of Shear Wave Elastography as Evidenced From Carotid Artery Strain and Strain Rate Induced by Acoustic Radiation Force Impulse and Arterial Pulsations," Ultrasound in Medicine and Biology, vol. 51, no. 5, pp. 742-750, 2025.
[31]
J. Fu et al., "Decomposing the effect of normal aging and Alzheimer's disease in brain morphological changes via learned aging templates," Scientific Reports, vol. 15, no. 1, 2025.
[32]
S. Vandenbulcke et al., "Evaluating amplified magnetic resonance imaging as an input for computational fluid dynamics models of the cerebrospinal fluid," Interface Focus, vol. 15, no. 1, 2025.
[33]
Z. Yang et al., "Two-Stage Convolutional Neural Network for Breast CT Reconstruction," in Medical Imaging 2025: Physics of Medical Imaging, 2025.
[34]
G. Burton, M. Danielsson and M. Persson, "Feasibility of Photon-Counting Micro-CT for Intraoperative Specimen Imaging: a Simulation Study," in Medical Imaging 2025: Physics of Medical Imaging, 2025.
[35]
J. Dong et al., "coDice: Connectivity-Preserving Dice Loss for 2D/3D Tubular Structure Segmentation," in Medical Imaging 2025: Image Processing, 2025.
[36]
Z. Huang et al., "Revisiting model scaling with a U-net benchmark for 3D medical image segmentation," Scientific Reports, vol. 15, no. 1, 2025.
[37]
S. Sondur et al., "Simulating dynamic image formation in a Transmission Electron Microscope with a proposed electron beam phase plate," Micron, vol. 196-197, 2025.
[38]
J. Fu et al., "Synthesizing individualized aging brains in health and disease with generative models and parallel transport," Medical Image Analysis, vol. 105, 2025.
[39]
P. G. Söderberg et al., "Age related loss rate of the minimal cross section of the waist of the nerve fiber layer in the optic nerve head estimated with OCT," in Ophthalmic Technologies XXXV, 2025.
[40]
S. Bendazzoli, "Design and Integration of AI Solutions in Oncology and Healthcare Infrastructures : Bridging the Gap Between AI Innovation and Clinical Practice," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2025:29, 2025.
[41]
C. Olsson et al., "Effects of Parkinson's disease on mechanical and microstructural properties of the brain," NeuroImage : Clinical, vol. 48, 2025.
[42]
Y. Zhuo et al., "FIND : A Framework for Iterative to Non-Iterative Distillation for Lightweight Deformable Registration," IEEE journal of biomedical and health informatics, vol. 29, no. 8, pp. 5722-5735, 2025.
[43]
E. Pitti et al., "Shear Anisotropy Changes of Levator Ani Muscle Phantoms Assessed by Rotational Shear Wave Elastography," in 2025 IEEE International Ultrasonics Symposium, IUS 2025, 2025.
[44]
D. Wang et al., "Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network," Biomedical Signal Processing and Control, vol. 105, 2025.
[45]
Z. Wang et al., "Anisotropic mechanical properties Quantification in skeletal muscle using magnetic resonance elastography and diffusion tensor imaging," Journal of Biomechanics, vol. 186, 2025.
[46]
Z. Yang et al., "Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models," in Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - 1st Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Proceedings, 2025, pp. 65-74.
[47]
Q. Cao et al., "Automated Segmentation for Early Glaucoma Detection Using nnU-Net," in Ophthalmic Technologies XXXV, 2025.
[48]
Q. Zhang, "Imaging and reconstruction of membrane proteins with cryoEM," Doctoral thesis : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2025:37, 2025.
[49]
J. Holm et al., "Prospective Analysis of Optic Nerve Head Changes in Glaucoma Using Artificial Intelligence Software," Investigative Ophthalmology and Visual Science, vol. 66, no. 8, 2025.
[50]
Q. Cao et al., "Advancing Glaucoma Diagnosis : Automated PIMD Calculation with Deep Learning Frameworks," Investigative Ophthalmology and Visual Science, vol. 66, no. 8, 2025.