34 citations · 60 across the 15 of their papers we have counts for
8 papers · 1 filter
Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space
George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos +1
Recently, soft robotic procedures are being developed aiming at achieving targeted minimally invasive operations or drug administration in specific locations in the human body. Acc…
Cross-dataset harmonization for robust endoscopic image analysis
Romil Imtiaz, Dimitris K. Iakovidis
A significant problem in endoscopic image analysis is that the machine learning (ML) models used for this purpose usually underperform when applied on images acquired from endoscop…
Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation
Michael Vasilakakis, Dimitris K. Iakovidis
Synthetic tabular data generation provides an effective alternative for the training of machine learning models when real-world data is limited or inaccessible. However, the hetero…
Self-Supervised Perceptually Interpretable Monocular Depth Estimation
Zain Ul Abidin, George Dimas, Dimitris K. Iakovidis
Self-supervised monocular depth estimation (MDE) enables depth prediction from monocular images without requiring ground-truth supervision, making it attractive for large-scale and…
Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitris K. Iakovidis
The segmentation of anatomical structures in medical images and particularly in MRI scans, is essential for clinical diagnosis and monitoring disease progression. While Deep Learni…
EndoFSA: Endoscopic Few-Shot Image Generation via Rank-Constrained Parameter Adaptation
Panagiota Gatoula, Grigoris Karypidis, Dimitris K. Iakovidis
WCE produces large-scale gastrointestinal image data yet pathological findings remain significantly underrepresented limiting the generalization performance of deep-learning based…
Confidence-Aware Teacher-Student Distillation for 3D Medical Segmentation
Georgios Triantafyllou, Dimitris K. Iakovidis
Medical image segmentation models typically rely on large amounts of densely annotated volumetric data, limiting their scalability across tasks and imaging modalities. This work ad…
ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis
Romil Imtiaz, Dimitris K. Iakovidis
We developed a multi-label gastrointestinal video analysis pipeline based on a ResNet-50 frame classifier followed by anatomy-guided temporal event decoding. The system predicts 17…