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Publications

50 latest publications

[1]
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.
[2]
D. Wang et al., "Airway segmentation using Uncertainty-based Double Attention Detail Supplement Network," Biomedical Signal Processing and Control, vol. 105, 2025.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
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.
[10]
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.
[11]
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.
[12]
Z. Yang et al., "3D Breast Ultrasound Image Classification Using 2.5D Deep learning," in 17th International Workshop on Breast Imaging, IWBI 2024, 2024.
[13]
F. R. Talabazar et al., "Removal of per- and polyfluoroalkyl substances (PFAS) from wastewater using the hydrodynamic cavitation on a chip concept," Chemical Engineering Journal, vol. 495, 2024.
[14]
A. Rosato et al., "Evidence of spontaneous cardiac-locomotor coupling during daily activities in healthy adults," Frontiers in Physiology, vol. 15, 2024.
[15]
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.
[16]
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.
[17]
B. Kataria et al., "Image quality assessments in abdominal CT : Relative importance of dose, iterative reconstruction strength and slice thickness," Radiography, vol. 30, no. 6, pp. 1563-1571, 2024.
[18]
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.
[19]
B. Klintström et al., "Automated bone property analysis using corrected in vivo dental cone-beam CT data of human wrists," Scientific Reports, vol. 14, no. 1, 2024.
[20]
M. Maleki et al., "New insights on cavitating flows over a microscale backward-facing step," Physics of fluids, vol. 36, no. 9, 2024.
[21]
J. Fu et al., "Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation," in MICCAI Workshop on Advancing Data Solutions in Medical Imaging AI, 2024.
[22]
S. Persson and R. Moreno, "Bounding tractogram redundancy," Frontiers in Neuroscience, vol. 18, 2024.
[23]
E. Breznik et al., "Cross-modality sub-image retrieval using contrastive multimodal image representations," Scientific Reports, vol. 14, no. 1, 2024.
[24]
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.
[25]
T. Nordenfur, "Advancing Cardiovascular Shear Wave Elastography and Image Registration : Method Development and Safety Evaluation," Doctoral thesis : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2024:16, 2024.
[26]
E. Klintström et al., "Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens," BMC Medical Imaging, vol. 24, no. 1, 2024.
[27]
J. Fu, "Methods for brain MRI image synthesis and analysis," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2024:53, 2024.
[28]
S. Bendazzoli et al., "Lung vessel connectivity map as anatomical prior knowledge for deep learning-based lung lobe segmentation," Journal of Medical Imaging, vol. 11, no. 4, 2024.
[29]
F. Sinzinger, "Geometric Deep Learning for Medical Image Processing Problems," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2024:48, 2024.
[30]
G. D. Mawla et al., "The membrane-cytoplasmic linker defines activity of FtsH proteases in Pseudomonas aeruginosa clone C," Journal of Biological Chemistry, vol. 300, no. 2, 2024.
[31]
P. Bilic et al., "The Liver Tumor Segmentation Benchmark (LiTS)," Medical Image Analysis, vol. 84, pp. 102680, 2023.
[32]
K. Loskutova et al., "Biocompatibility of Cellulose Nanofiber-Coated Perfluoropentane Droplets," in The 28th European Symposium on Ultrasound Contrast Imaging, 2023.
[33]
K. Loskutova et al., "Cellulose Nanofiber-Coated Perfluoropentane Droplets: Fabrication and Biocompatibility Study," International Journal of Nanomedicine, vol. 18, pp. 1835-1847, 2023.
[34]
A. Rosato et al., "Spontaneous Cardiac-Locomotor Coupling in Healthy Individuals During Daily Activities," in Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) : Volume 4: BIOSIGNALS, 2023, pp. 170-177.
[35]
A. Rosato et al., "Probability Of Cardiac-Locomotor Coupling During Daily Activities," in XXIX Congress of International Society of Biomechanics, ISB, Fukuoka, Japan, 2023.
[36]
B. Kataria et al., "Learning effects in visual grading assessment of model-based reconstruction algorithms in abdominal Computed Tomography," EUROPEAN JOURNAL OF RADIOLOGY OPEN, vol. 10, 2023.
[37]
X. Song, G. Shen and D. Grishenkov, "A comparative study on detection of polymer-shelled microbubbles by different excitation pulses," Journal of the Acoustical Society of America, vol. 154, no. 1, pp. 482-493, 2023.
[38]
M. Yuliuhina, "Synthesizing of brain MRE wave data," , 2023.
[39]
W. Häger et al., "Overall survival prediction for high-grade glioma patients using mathematical modeling of tumor cell infiltration," Physica medica (Testo stampato), vol. 113, 2023.
[40]
F. Milosavljević et al., "The humanised CYP2C19 transgenic mouse exhibits cerebellar atrophy and movement impairment reminiscent of ataxia," Neuropathology and Applied Neurobiology, vol. 49, no. 1, 2023.
[41]
W. Hager et al., "treatment outcome prediction from modeling the clinical target distribution for high-grade gliomas," Radiotherapy and Oncology, vol. 182, pp. S653-S654, 2023.
[42]
F. R. Talabazar et al., "Cavitation inception and evolution in cavitation on a chip devices at low upstream pressures," Physics of fluids, vol. 35, no. 1, 2023.
[43]
E. Cece et al., "Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction," Journal of Imaging, vol. 9, no. 10, 2023.
[44]
A. Hain, D. Jörgens and R. Moreno, "Randomized iterative spherical‐deconvolution informed tractogram filtering," NeuroImage, vol. 278, 2023.
[45]
Y. Zhou et al., "Synthesis of Pediatric Brain Tumor Images With Mass Effect," in Medical Imaging 2023 : Image Processing, 2023.
[46]
R. Khan et al., "Dental image enhancement network for early diagnosis of oral dental disease," Scientific Reports, vol. 13, no. 1, 2023.
[47]
J. Fu et al., "Fast three-dimensional image generation for healthy brain aging using diffeomorphic registration," Human Brain Mapping, vol. 44, no. 4, pp. 1289-1308, 2023.
[48]
R. Khan et al., "A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images," Frontiers in Neuroscience, vol. 16, 2023.
[49]
J. Xu et al., "Automatic segmentation of orbital wall from CT images via a thin wall region supervision-based multi-scale feature search network," International Journal of Computer Assisted Radiology and Surgery, vol. 18, no. 11, pp. 2051-2062, 2023.
[50]
C. Dartora et al., "A deep learning model for brain age prediction using minimally preprocessed T1w images as input," Frontiers in Aging Neuroscience, vol. 15, 2023.