Rafał Dreżewski

Associate Professor

AGH University of Science and Technology

Poland

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Rafał Dreżewski is an Associate Professor at AGH University of Science and Technology in Poland. His research primarily focuses on deep learning techniques for medical image analysis, particularly in brain tumor segmentation. His recent publications include advancements in U-Net architectures and bio-inspired metaheuristics applied to medical imaging. Professor Dreżewski is also involved in the optimization of algorithms for various applications, showcasing a broad interest in both healthcare and computational methods.

Rafał Dreżewski

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Articles (27)

Bio-Inspired Metaheuristics in Deep Learning for Brain Tumor Segmentation: A Decade of Advances and Future Directions

Advanced brain tumor segmentation using DeepLabV3Plus with Xception encoder on a multi-class MR image dataset

Advanced brain tumor segmentation using DeepLabV3Plus with Xception encoder on a multi-class MR image dataset

Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis

Modified U-Net with attention gate for enhanced automated brain tumor segmentation

Modified U-Net with attention gate for enhanced automated brain tumor segmentation

Optimizing U-Net Architecture Using Differential Evolution for Brain Tumor Segmentation

Multi-Objective Ship Route Optimisation Using Estimation of Distribution Algorithm

Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach

Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach

Real-time mask-wearing detection in video streams using deep convolutional neural networks for face recognition

Real-time mask-wearing detection in video streams using deep convolutional neural networks for face recognition

Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection

Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Advanced Medical Image Segmentation Enhancement: A Particle-Swarm-Optimization-Based Histogram Equalization Approach

Advanced Medical Image Segmentation Enhancement: A Particle Swarm Optimization-Based Histogram Equalization Approach

Essay auto-scoring using N-Gram and Jaro Winkler based Indonesian Typos

Real-time surrogate-assisted preprocessing of streaming sensor data

Real-time surrogate-assisted preprocessing of streaming sensor data

Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers

K-means segmentation based-on Lab color space for embryo detection in incubated egg

Non-destructive egg fertility detection in incubation using SVM classifier based on GLCM parameters

Semi-supervised text annotation for hate speech detection using K-nearest neighbors and term frequency-inverse document frequency

Sentiment analysis of Indonesian reviews using fine-tuning IndoBERT and R-CNN

System supporting poetry generation using text generation and style transfer methods

Adaptive Segmentation of Streaming Sensor Data on Edge Devices

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