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CST Publications

CST's 50 Most Recent Publications

[1]
F. Mallor et al., "In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES," in ERCOFTAC Series, : Springer Science and Business Media B.V., 2024, pp. 17-22.
[2]
P. Verzelli, T. Tchumatchenko and J. Hellgren Kotaleski, "Editorial overview : Computational neuroscience as a bridge between artificial intelligence, modeling and data," Current Opinion in Neurobiology, vol. 84, 2024.
[3]
Y. Liu, "Breast cancer risk assessment and detection in mammograms with artificial intelligence," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:2, 2024.
[4]
C. A., I. Akerlund et al., "Clinical descriptors of disease trajectories in patients with traumatic brain injury in the intensive care unit (CENTER-TBI) : a multicentre observational cohort study," Lancet Neurology, vol. 23, no. 1, pp. 71-80, 2024.
[5]
M. A. Cenci and A. Kumar, "Cells, pathways, and models in dyskinesia research," Current Opinion in Neurobiology, vol. 84, 2024.
[6]
S. Zojaji, "Embodying Politeness in Persuasive Humanoid Agents for Small Group Scenarios," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:14, 2024.
[7]
J. E. Mold et al., "Clonally heritable gene expression imparts a layer of diversity within cell types," Cell systems, vol. 15, no. 2, pp. 149, 2024.
[8]
H. Hellqvist et al., "Estimation of aortic stiffness by finger photoplethysmography using enhanced pulse wave analysis and machine learning," Frontiers in Cardiovascular Medicine, vol. 11, 2024.
[9]
J. Zang et al., "Structural constraints on the emergence of oscillations in multi-population neural networks," eLIFE, vol. 12, 2024.
[10]
J. Xu et al., "Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning," IEEE Transactions on Circuits and Systems - II - Express Briefs, vol. 71, no. 2, pp. 627-631, 2024.
[11]
N. Jansson et al., "Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics," Computers & Fluids, vol. 275, pp. 106243-106243, 2024.
[12]
F. Liu, "High Performance Computing for the Optimization of Radiation Therapy Treatment Plans," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:35, 2024.
[13]
T. Lindeberg, "Joint covariance properties under geometric image transformations for spatio-temporal receptive fields according to the generalized Gaussian derivative model for visual receptive fields," , 2024.
[14]
J. Pedersen, J. Conradt and T. Lindeberg, "Covariant spatio-temporal receptive fields for neuromorphic computing," , 2024.
[15]
A. Buwaider et al., "Extended reality in cranial and spinal neurosurgery – a bibliometric analysis," Acta Neurochirurgica, vol. 166, no. 1, 2024.
[16]
C. Matsoukas, "Artificial Intelligence for Medical Image Analysis with Limited Data," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:48, 2024.
[17]
M. Karp, "Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:36, 2024.
[18]
J. Fredin Haslum et al., "Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity," Nature Communications, vol. 15, no. 1, 2024.
[19]
H. Koptagel et al., "Scuphr: A probabilistic framework for cell lineage tree reconstruction," PloS Computational Biology, vol. 20, no. 5 May, 2024.
[20]
S. Kurt et al., "CopyVAE: a variational autoencoder-based approach for copy number variation inference using single-cell transcriptomics," Bioinformatics, vol. 40, no. 5, 2024.
[21]
D. Hussain, "Accessibility Knowledge Viewed Through the Lens of the Stakeholders.," in HCSE24, 2024.
[22]
J. Fredin Haslum, "Machine Learning Methods for Image-based Phenotypic Profiling in Early Drug Discovery," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:53, 2024.
[23]
O. Kviman et al., "Variational Resampling," in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, pp. 3286-3294.
[24]
A. Hotti, L. Van der Goten and J. Lagergren, "Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds," in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, pp. 3538-3546.
[25]
C. Schagerholm et al., "PIK3CA mutations in endocrine-resistant breast cancer," Scientific Reports, vol. 14, no. 1, pp. 12542, 2024.
[26]
T. Lindeberg, "Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators," , 2024.
[27]
S. Markidis, "What is Quantum Parallelism, Anyhow?," in Research Paper Proceedings of the ISC High Performance 2024, 2024.
[28]
K. Morozovska et al., "Trade-offs of wind power production: A study on the environmental implications of raw materials mining in the life cycle of wind turbines," Journal of Cleaner Production, vol. 460, 2024.
[29]
D. Shi et al., "Understanding and Automating Graphical Annotations on Animated Scatterplots," in Proceedings - 2024 IEEE 17th Pacific Visualization Conference, PacificVis 2024, 2024, pp. 212-221.
[30]
Y. Liu et al., "Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening," Radiology, vol. 311, no. 1, 2024.
[31]
T. Stojanovski and D. Adams, "Urban morphology, smart sustainability and space colonization," Urban morphology, vol. 28, no. 1, pp. 84-92, 2024.
[32]
J. Fredin Haslum et al., "Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2024,, 2024, pp. 7723-7732.
[33]
T. Lindeberg, "Unified theory for joint covariance properties under geometric image  transformations for spatio-temporal receptive fields according to  the generalized Gaussian derivative model for visual receptive fields," , 2024.
[34]
J. P. Huix et al., "Are Natural Domain Foundation Models Useful for Medical Image Classification?," in Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, 2024, pp. 7619-7628.
[35]
M. Lundqvist et al., "Beta : bursts of cognition," Trends in cognitive sciences, vol. 28, no. 7, pp. 662-676, 2024.
[36]
S. Borzooei et al., "Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning," Journal of Water Process Engineering, vol. 64, 2024.
[37]
D. Wang et al., "FPGA-Based HPC for Associative Memory System," in 29TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC 2024, 2024, pp. 52-57.
[38]
J. J. Williams et al., "Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis," in Euro-Par 2024: Parallel Processing Workshops: Euro-Par 2024 International Workshops, August 26–30, Madrid, Spain, 2024.
[39]
J. J. Williams et al., "Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers," in 50th European Physical Society Conference on Plasma Physics, Magnetic Confinement Fusion Plasma, P2-097, July 8-12, Salamanca, Spain, 2024.
[40]
A. Srinivasan, "Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection," in Vol. 8 No. 1 (2024): Proceedings of the European Conference of the PHM Society 2024, 2024.
[41]
A. Buwaider et al., "Augmented reality navigation in external ventricular drain insertion-a systematic review and meta-analysis," Virtual Reality, vol. 28, no. 3, 2024.
[42]
T. Westin et al., "An extended reality platform for inclusion of adults on the autism spectrum: A position paper," in 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024, 2024, pp. 476-483.
[43]
G. Schieffer et al., "On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability," in Proceedings - 2024 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2024, 2024, pp. 132-143.
[44]
D. Massaro et al., "Direct numerical simulation of the turbulent flow around a Flettner rotor," Scientific Reports, vol. 14, no. 1, 2024.
[45]
T. Westin et al., "Assistive Augmented Reality for Adults on the Autism Spectrum with Intellectual Disability," in Computers Helping People with Special Needs - 19th International Conference, ICCHP 2024, Proceedings, 2024, pp. 257-266.
[46]
S. Zojaji, A. Matviienko and C. Peters, "Exploring the Influence of Co-Present and Remote Robots on Persuasiveness and Perception of Politeness," in HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, pp. 1204-1208.
[47]
D. Hussain, "Managing Students’ Expectations in a Challenge-Driven Learning Environment," in Towards a Hybrid, Flexible and Socially Engaged Higher Education - Proceedings of the 26th International Conference on Interactive Collaborative Learning ICL2023, 2024, pp. 191-201.
[48]
E. Aurell et al., "Random Pure Gaussian States and Hawking Radiation," Physical Review Letters, vol. 133, no. 6, 2024.
[49]
A. Solomonidou et al., "Detailed chemical composition analysis of the Soi crater region on Titan," Icarus, vol. 421, 2024.
[50]
T. Lindeberg, "Discrete approximations of Gaussian smoothing and Gaussian derivatives," Journal of Mathematical Imaging and Vision, vol. 66, no. 5, pp. 759-800, 2024.
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