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Publications

50 latest publications

[2]
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.
[7]
J. Fu et al., "Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data," in ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings, 2025.
[8]
Z. Yang et al., "Two-Stage Convolutional Neural Network for Breast CT Reconstruction," in Medical Imaging 2025: Physics of Medical Imaging, 2025.
[9]
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.
[10]
J. Dong et al., "coDice: Connectivity-Preserving Dice Loss for 2D/3D Tubular Structure Segmentation," in Medical Imaging 2025: Image Processing, 2025.
[11]
Z. Huang et al., "Revisiting model scaling with a U-net benchmark for 3D medical image segmentation," Scientific Reports, vol. 15, no. 1, 2025.
[15]
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.
[16]
S. Bendazzoli et al., "MONet-FL : Extending nnU-Net with MONAI for Clinical Federated Learning," in Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning : First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings, 2025.
[17]
Q. Zhang et al., "SMCT1 has a low affinity to PDZ domain containing 1 protein," microPublication biology, vol. 2025, 2025.
[18]
Q. Zhang, "Imaging and reconstruction of membrane proteins with cryoEM," Doctoral thesis : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2025:37, 2025.
[19]
[20]
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.
[21]
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.
[22]
D. Wang et al., "Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network," Biomedical Signal Processing and Control, vol. 105, 2025.
[24]
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.
[25]
Q. Cao et al., "Automated Segmentation for Early Glaucoma Detection Using nnU-Net," in Ophthalmic Technologies XXXV, 2025.
[26]
M. Siegbahn et al., "Asymmetry in Cortical Thickness of the Heschl's Gyrus in Unilateral Ear Canal Atresia," Otology and Neurotology, vol. 45, no. 4, pp. 342-350, 2024.
[27]
B. Kataria et al., "Image quality in CT thorax: effect of altering reconstruction algorithm and tube load," Radiation Protection Dosimetry, vol. 200, no. 5, pp. 504-514, 2024.
[28]
Z. Yang et al., "Lesion Localization in Digital Breast Tomosynthesis with Deformable Transformers by Using 2.5D Information," in Medical Imaging 2024: Computer-Aided Diagnosis, 2024.
[29]
H. Tomic et al., "Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation," in Medical Imaging 2024: Physics of Medical Imaging, 2024.
[30]
Z. Yang et al., "3D Breast Ultrasound Image Classification Using 2.5D Deep learning," in 17th International Workshop on Breast Imaging, IWBI 2024, 2024.
[32]
[33]
M. Liden et al., "Machine learning slice-wise whole-lung CT emphysema score correlates with airway obstruction," European Radiology, vol. 34, no. 1, pp. 39-49, 2024.
[34]
T. Nilsson et al., "Acquisition Duration Optimization Using Visual Grading Regression in [68Ga]FAPI-46 PET Imaging of Oncologic Patients," Journal of Nuclear Medicine Technology, vol. 52, no. 3, pp. 221-228, 2024.
[36]
W. Hager et al., "Role of modeled high-grade glioma cell invasion on tumor progression prediction after radiotherapy," Radiotherapy and Oncology, vol. 194, pp. S5120-S5122, 2024.
[37]
[38]
M. Maleki et al., "New insights on cavitating flows over a microscale backward-facing step," Physics of fluids, vol. 36, no. 9, 2024.
[39]
J. Fu et al., "Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation," in MICCAI Workshop on Advancing Data Solutions in Medical Imaging AI, 2024.
[40]
S. Persson and R. Moreno, "Bounding tractogram redundancy," Frontiers in Neuroscience, vol. 18, 2024.
[41]
E. Breznik et al., "Cross-modality sub-image retrieval using contrastive multimodal image representations," Scientific Reports, vol. 14, no. 1, 2024.
[42]
E. Bäcklin et al., "Pulmonary volumes and signs of chronic airflow limitation in quantitative computed tomography," Clinical Physiology and Functional Imaging, vol. 44, no. 4, pp. 340-348, 2024.
[44]
F. Sinzinger, "Geometric Deep Learning for Medical Image Processing Problems," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2024:48, 2024.
[45]
E. Pitti et al., "Experimental Assessment of Traction Force and Associated Fetal Brain Deformation in Vacuum-Assisted Delivery," Annals of Biomedical Engineering, vol. 53, no. 4, pp. 825-844, 2024.
[46]
B. Ozogul et al., "Hydrodynamic Cavitation‐Induced Thrombolysis on a Clot‐on‐a‐Chip Platform," Advanced NanoBiomed Research, vol. 5, no. 1, 2024.
[47]
Z. Zhou et al., "The White Matter Fiber Tract Deforms Most in the Perpendicular Direction During In Vivo Volunteer Impacts," Journal of Neurotrauma, vol. 41, no. 23-24, pp. 2554-2570, 2024.
[48]
S. Gatidis et al., "Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging," Nature Machine Intelligence, vol. 6, no. 11, pp. 1396-1405, 2024.
[49]
[50]
K. Kisonaite et al., "Automatic estimation of the cross-sectional area of the waist of the nerve fibre layer at the optic nerve head," Acta Ophthalmologica, vol. 102, no. 1, pp. 91-98, 2024.