Michalis Savelonas

associate professor, department of computer science and biomedical informatics, university of thessaly, research in computer vision and pattern recognition

[Michalis Savelonas @aspilos74]

Guiding symbolic regression with fuzzy cognitive maps: a hybrid framework for discovering interpretable, theory-consistent analytical expressions, new article in Applied Soft Computing (IF: 6,6) https://t.co/kg5U8Db5PM

#MachineLearning #FuzzyCognitiveMap #SymbolicRegression

[Michalis Savelonas @aspilos74]

Leveraging Unlabeled Scans for NCCT Image Segmentation in Early Stroke Diagnosis: A Semi-Supervised GAN Approach, IEEE BIBE 2025 https://t.co/j8EIR2dRZf #GAN #Segmentation #Stroke #MedicalImageAnalysis

[Michalis Savelonas @aspilos74]

Deep Learning-based Knowledge Discovery in Medical Imaging – Collection in Discover Data (Springer). We invite submissions. Deadline extended to: 31 December 2025. Collection description and details in the link:
https://t.co/0ALc0sTTAV
#biomarkers #deeplearning

[Michalis Savelonas @aspilos74]

Our editorial article introducing the Research Topic "Advances in Biomedical Image Segmentation and Analysis Using Deep Learning" in Frontiers in Signal Processing,  can be accessed here:
https://t.co/nF0Nba81GN

[Michalis Savelonas @aspilos74]

Deep Learning-based Knowledge Discovery in Medical Imaging – Collection in Discover Data (Springer). We invite submissions. Deadline: 30 June 2025. Collection description and details in the link:
https://t.co/2kPHluxDPw
#medicalimageanalysis #federatedlearning #fewshot

[Michalis Savelonas @aspilos74]

Our new work “TransLevelSet: Integrating Vision Transformers with Level-Sets for Medical Image Segmentation” has been published on Neurocomputing (IF: 6.0) https://t.co/b3CB1L4TUT #AI #VisionTransformers #ViT #medicalimageanalysis

[Michalis Savelonas @aspilos74]

Our new work entitled "Self-attention-driven Retrieval of Chest CT Images for COVID-19 Assessment" has been published (open access) on Biomedical Physics & Engineering Express (Institute of Physics - IOP) https://t.co/TdbKWvs55P

[Joscha Bach @Plinz]

@fchollet The model types in music (aesthetics of sequential auditory signals) are very diverse. Eg Baroque music is usually built around state machines while Jazz is often built on a dynamical system

[Michalis Savelonas @aspilos74]

Vertebrae, IVD and spinal canal boundary extraction on MRI, utilizing CT-trained active shape models https://t.co/fXH7Jy6Wfw

[Michalis Savelonas @aspilos74]

Hybrid Representation of Sensor Data for the Classification of Driving Behaviour https://t.co/ezpbOPCpEn ##mdpiapplsci via @Applsci

[Konstantinos Vardis @kvarcg]

"Illumination-driven Light Probe Placement" has received best Poster award in #Eurographics2021 conference :)
Source code, video and other info here: https://t.co/8sT68xoXRK
@EurographicsC @cgaueb @abasilak

[arXiv Daily @Arxiv_Daily]

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://t.co/sSGCU9yd2B
by @mmbronstein et al.
#ComputerVision #DataScience

[Michalis Savelonas @aspilos74]

PU learning-based recognition of structural elements in architectural floor plans #imageanalysis #floorplans #computervision #patternrecognition #machinelearning

https://t.co/xRy6E8iYYg

[Michalis Savelonas @aspilos74]

Image #Segmentation based on Determinative Brain Storm Optimization, IEEE SMAP 2020 https://t.co/wMWp2O5Ndc

[Michalis Savelonas @aspilos74]

Hybrid Time-series Representation for the Classification of Driving Behaviour, IEEE SMAP 2020 https://t.co/lxxJre9RLR

[Michalis Savelonas @aspilos74]

An Image-Based Approach for Classification of Driving Behaviour Using CNNs
#NeuralNetworks #automotive
https://t.co/iorjYETpVq

[Michalis Savelonas @aspilos74]

H-V Shadow Detection Based on Electromagnetism-like Optimization, to be presented at EUSIPCO 2020
https://t.co/PIDBlvsTEq

[Michalis Savelonas @aspilos74]

Classification of Driving Behaviour using Short-term and Long-term Summaries of Sensor Data, IEEE SEEDA-CECNSM https://t.co/BYVPEhiunY

[Michalis Savelonas @aspilos74]

Bimodal CT/MRI-Based Segmentation Method for Intervertebral Disc Boundary Extraction #mdpiinformation via @MDPIOpenAccess https://t.co/2j48Z0hj7x