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MIRALAB

Publications

2025

  1. Improved Colorectal Gland Segmentation in Histopathology Images with Adaptive Resizer-Enhanced U-Net Models

    Ekrem Fidan and Abdurrahman Gumus

    Manuscript acceptedNeural Computing and Applications

  2. Vision-language model approach for few-shot learning of attention deficit hyperactivity disorder using EEG connectivity-based featured images

    Mehmet Sergen Catal, Abdurrahman Gumus, Ozlem Karabiber Cura, Ocan Aydin and Mehmet Zubeyir Ünlü

    Machine Learning: Science and Technology

  3. Vision Transformers-Based Deep Feature Generation Framework for Hydatid Cyst Classification in Computed Tomography Images

    Metin Sagik and Abdurrahman Gumus

    Journal of Imaging Informatics in Medicine

  4. Vis-Assist: computer vision and haptic feedback-based wearable assistive device for visually impaired

    Ibrahim Dede and Abdurrahman Gumus

    Journal on Multimodal User Interfaces

  5. CollabPersona: A Framework for Collaborative Decision Analysis in Persona Driven LLM-Based Multi-Agent Systems

    Onat Arda Tamer and Abdurrahman Gumus

    2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)

  6. Semantic Guided Autoregressive Diffusion Based Data Augmentation Using Visual Instructions

    Ege Yavuzcan, Omer Kus and Abdurrahman Gumus

    2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS)

  7. Iterative Semantic Refinement: A Vision Language Model-Driven Approach to Auto-Regressive Image Editing

    Omer Kus, Ege Yavuzcan and Abdurrahman Gumus

    2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS)

  8. Current sensing in phase-OTDR systems using deep learning

    Muhammet Cagri Yeke, Samil Sirin, Kivilcim Yuksel and Abdurrahman Gumus

    29th International Conference on Optical Fiber Sensors, SPIE

2024

  1. Diffusion-based data augmentation methodology for improved performance in ocular disease diagnosis using retinography images.

    Burak Aktas, Doga Deniz Ates, Okan Duzyel and Abdurrahman Gumus

    International Journal of Machine Learning and Cybernetics

  2. AutoReason: Automatic Few-Shot Reasoning Decomposition

    Arda Sevinc and Abdurrahman Gumus

    arXiv preprint arXiv:2412.06975

  3. Classification of Microscopic Fungi Images Using Vision Transformers for Enhanced Detection of Fungal Infections

    Abdurrahman Gumus

    Turkish Journal of Nature and Science

2023

  1. Deep reproductive feature generation framework for the diagnosis of COVID-19 and viral pneumonia using chest X-ray images

    Ceyhun Efe Kayan, Talha Enes Koksal, Arda Sevinc and Abdurrahman Gumus

    Preprint

  2. Real Time Computer Vision Based Robotic Arm Controller with ROS and Gazebo Simulation Environment

    Egemen Aksoy, Arif Dorukan Çakır, Berat Alper Erol and Abdurrahman Gumus

    14th International Conference on Electrical and Electronics Engineering (ELECO)

  3. Ethereum Blockchain Smart Contract Vulnerability Detection Using Deep Learning

    Huseyin Okan Demir, Sule Zeynep Parlat and Abdurrahman Gumus

    2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)

  4. Open-Source Visual Target-Tracking System Both on Simulation Environment and Real Unmanned Aerial Vehicles.

    Celil Yılmaz, Abdulkadir Ozgun, Berat Alper Erol and Abdurrahman Gumus

    International Congress of Electrical and Computer Engineering, Cham: Springer Nature Switzerland

  5. Adaptive resizer-based transfer learning framework for the diagnosis of breast cancer using histopathology images

    Okan Duzyel, Mehmet Sergen Catal, Ceyhun Efe Kayan, Arda Sevinc and Abdurrahman Gumus

    Signal, Image, and Video Processing

  6. Real-time superficial vein imaging system for observing abnormalities on vascular structures

    Ayse Altay and Abdurrahman Gumus

    Multimedia Tools and Applications

  7. Intensity and phase stacked analysis of a Φ-OTDR system using deep transfer learning and recurrent neural networks

    Ceyhun Efe Kayan, Kivilcim Yuksel Aldogan and Abdurrahman Gumus

    Applied Optics

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