Paper-Conference

Lightweight Zero-Shot Segmentation of Mitochondria in Electron Microscopy Images
While foundation models such as DINOv2 offer remarkable generalization for zero-shot image segmentation, they are computationally …
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Lightweight Zero-Shot Segmentation of Mitochondria in Electron Microscopy Images
Geometry-Based Differentiable Camera Placement for Optimal 3D Coverage
Optimal camera placement is fundamental for inspection and 3D reconstruction tasks. We address this traditionally discrete problem by …
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Comparative Analysis of Convolutional Neural Networks and Vision Transformers for White Blood Cell Classification in Medical Imaging
Accurate white blood cell (WBC) classification in peripheral blood smears is essential for diagnosing and monitoring hematological …
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Robust Deep Learning for MRI-Based Alzheimer's Disease Detection: Overcoming Real-World Imaging Challenges
Detecting Alzheimer’s disease (AD) from MRI scans remains a significant challenge in medical imaging due to the subtle, …
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SAM-GAN Synthesis for Equitable Skin Cancer Diagnosis: A Deep Learning Approach to Address Class Imbalance in Dermoscopy
Recent advances in deep learning have significantly improved skin cancer classification, yet persistent issues such as extreme class …
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Super-Resolution Benchmarking for 3D Image-to-Image Fusion Problem
Fluorescence microscopy faces challenges in resolution, phototoxicity, and anisotropic artifacts. The Fuse My Cells challenge, …
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A Benchmark of Foundation Model Encoders for Histopathological Image Segmentation
Whole-slide imaging has transformed histopathology into a data-intensive field, requiring robust and generalisable computational tools. …
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Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment
Respiratory illnesses, such as COVID-19, pose a significant health challenge. The prompt and precise identification of pulmonary …
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Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning
Accurate detection methods are desperately needed, as skin cancer concerns around the world continue to rise. Conventional methods, …
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Advancing Road Safety: A CNN-Based Semi-Supervised Learning Approach for Drivers' Drowsiness Detection
The National Safety Council (NSC) has reported that each year, driver fatigue is responsible for 100,000 accidents, 71,000 injuries, …
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