Skip to main content
To KTH's start page To KTH's start page

Publications

50 latest publications

[1]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
P. Bilic et al., "The Liver Tumor Segmentation Benchmark (LiTS)," Medical Image Analysis, vol. 84, pp. 102680, 2023.
[6]
K. Loskutova et al., "Biocompatibility of Cellulose Nanofiber-Coated Perfluoropentane Droplets," in The 28th European Symposium on Ultrasound Contrast Imaging, 2023.
[7]
K. Loskutova et al., "Cellulose Nanofiber-Coated Perfluoropentane Droplets: Fabrication and Biocompatibility Study," International Journal of Nanomedicine, vol. 18, pp. 1835-1847, 2023.
[8]
K. Loskutova, "Perfluorocarbon microdroplets stabilized by cellulose nanofibers : Toward ultrasound-mediated diagnostics and therapy," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2023:10, 2023.
[9]
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.
[10]
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.
[11]
A. Rosato et al., "Probability Of Cardiac-Locomotor Coupling During Daily Activities," in XXIX Congress of International Society of Biomechanics, ISB, Fukuoka, Japan, 2023.
[12]
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.
[13]
R. Khan et al., "Dental image enhancement network for early diagnosis of oral dental disease," Scientific Reports, vol. 13, no. 1, 2023.
[14]
Y. Zhou et al., "Synthesis of Pediatric Brain Tumor Images With Mass Effect," in Medical Imaging 2023 : Image Processing, 2023.
[15]
K. Ahlgren et al., "New insights into the protein stabilizing effects of trehalose by comparing with sucrose," Physical Chemistry, Chemical Physics - PCCP, vol. 25, no. 32, pp. 21215-21226, 2023.
[16]
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.
[17]
A. Hain, D. Jörgens and R. Moreno, "Randomized iterative spherical‐deconvolution informed tractogram filtering," NeuroImage, vol. 278, 2023.
[18]
M. Yuliuhina, "Synthesizing of brain MRE wave data," , 2023.
[19]
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.
[20]
R. Khan et al., "A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images," Frontiers in Neuroscience, vol. 16, 2023.
[21]
E. Cece et al., "Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction," Journal of Imaging, vol. 9, no. 10, 2023.
[22]
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.
[23]
T. Nilsson et al., "A dose optimization study using Visual Grading Regression in [68Ga]-FAPI-46 PET imaging of patients with pancreatic lesions," European Journal of Nuclear Medicine and Molecular Imaging, vol. 50, no. SUPPL 1, pp. S493-S493, 2023.
[24]
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.
[25]
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.
[26]
F. R. Talabazar et al., "Chemical effects in "hydrodynamic cavitation on a chip" : The role of cavitating flow patterns," Chemical Engineering Journal, vol. 445, 2022.
[27]
F. Sinzinger et al., "Predicting the trabecular bone apparent stiffness tensor with spherical convolutional neural networks," Bone Reports, vol. 16, pp. 101179, 2022.
[28]
I. Brusini et al., "Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis," Journal of Neuroimaging, 2022.
[29]
I. Brusini, "Methods for the analysis and characterization of brain morphology from MRI images," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-CBH-FOU, 2022:9, 2022.
[30]
M. Platten, "Quantitative MRI Biomarkers of Neurodegeneration in Multiple Sclerosis," Doctoral thesis Stockholm : KTH, TRITA-CBH-FOU, 2022:10, 2022.
[31]
T. Abbasiasl et al., "A Flexible Cystoscope Based on Hydrodynamic Cavitation for Tumor Tissue Ablation," IEEE Transactions on Biomedical Engineering, vol. 69, no. 1, pp. 513-524, 2022.
[32]
I. Brusini et al., "MRI-derived brain age as a biomarker of ageing in rats : validation using a healthy lifestyle intervention," Neurobiology of Aging, vol. 109, pp. 204-215, 2022.
[33]
E. Smedler et al., "Disrupted Cacna1c gene expression perturbs spontaneous Ca2+ activity causing abnormal brain development and increased anxiety," Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 7, 2022.
[34]
K. Kisonaite et al., "Estimation of the cross-sectional surface area of the waist of the nerve fiber layer at the optic nerve head," in Progress in Biomedical Optics and Imaging : Proceedings of SPIE, 2022.
[35]
W. Hager et al., "CTV delineation for high-grade gliomas : Is there agreement with tumor cell invasion models?," Radiotherapy and Oncology, vol. 170, pp. S290-S291, 2022.
[36]
B. Klintström et al., "Photon-counting detector CT and energy-integrating detector CT for trabecular bone microstructure analysis of cubic specimens from human radius," European radiology experimental, vol. 6, no. 1, 2022.
[37]
M. Astaraki, "Advanced Machine Learning Methods for Oncological Image Analysis," Doctoral thesis Stockholm : Universitetsservice US-AB, Sweden 2022, TRITA-CBH-FOU, 2022:38, 2022.
[38]
M. Astaraki, Ö. Smedby and C. Wang, "Prior-aware autoencoders for lung pathology segmentation," Medical Image Analysis, vol. 80, pp. 102491, 2022.
[39]
S. Seyedmirzaei Sarraf et al., "Fundamentals, biomedical applications and future potential of micro-scale cavitation-a review," Lab on a Chip, vol. 22, no. 12, pp. 2237-2258, 2022.
[40]
K. Poulakis et al., "Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer’s disease," Nature Communications, vol. 13, no. 1, 2022.
[41]
J. Xu et al., "A review on AI-based medical image computing in head and neck surgery," Physics in Medicine and Biology, vol. 67, no. 17, pp. 17TR01, 2022.
[42]
W. Hager et al., "CTV Delineation for High-Grade Gliomas : Is There Agreement With Tumor Cell Invasion Models?," ADVANCES IN RADIATION ONCOLOGY, vol. 7, no. 5, pp. 100987, 2022.
[43]
T. Nordenfur et al., "Safety of arterial shear wave elastography-ex-vivo assessment of induced strain and strain rates," Biomedical Engineering & Physics Express, vol. 8, no. 5, 2022.
[44]
A. Rosato et al., "Synchronization between Cardiac and Locomotor Rhythms during Walking," in Medicinteknikdagarna 2022, Luleå, Sweden, 2022.
[45]
M. Platten et al., "Cortical and white matter lesion topology influences focal corpus callosum atrophy in multiple sclerosis," Journal of Neuroimaging, 2022.
[46]
M. Siegbahn, C. Engmer Berglin and R. Moreno, "Automatic segmentation of the core of the acoustic radiation in humans," Frontiers in Neurology, vol. 13, 2022.
[47]
E. MacNicol et al., "Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps," Frontiers in Neuroinformatics, vol. 15, 2022.
[48]
F. Sinzinger et al., "Spherical Convolutional Neural Networks for Survival Rate Prediction in Cancer Patients," Frontiers in Oncology, vol. 12, 2022.
[49]
Ö. Smedby, "Deriving brain imaging biomarkers with deep learning," in Proceedings of SPIE - The International Society for Optical Engineering, 2021.
[50]
H. Chen et al., "Real-Time Cerebral Vessel Segmentation in Laser Speckle Contrast Image Based on Unsupervised Domain Adaptation," Frontiers in Neuroscience, vol. 15, 2021.