Scholar
Ashkan Shakarami
Google Scholar ID: 9xkpGj4AAAAJ
Computer Scientist & Postdoc Fellow in AI, Universität Bonn, Germany
AI/Computer Vision
Neural Networks
Computer-Aided Diagnosis
Histopathology
Ophthalmology
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
270
H-index
6
i10-index
6
Publications
13
Co-authors
10
list available
Contact
Email
ashkan.shakarami.ai@gmail.com
GitHub
Open ↗
Publications
4 items
Stress-Aware Resilient Neural Training
2025
Cited
0
Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation
2025
Cited
0
DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology
2025
Cited
0
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
2025
Cited
0
Resume (English only)
Academic Achievements
Published multiple research works, including:
- Stress-Aware Resilient Neural Training
- Unit-Based Histopathology Tissue Segmentation via Multi-Level Feature Representation
- DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology
- Transformative AI for Automating Histopathology Workflows
- VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
- TCNN: A Transformer Convolutional Neural Network for artifact classification in whole slide images
Maintains a Google Scholar profile
Co-authors
10 total
Co-author 1
Mohammad Bagher Menhaj
Professor of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
Stefano Ghidoni
Full Professor, University of Padova, Italy
Lorenzo Nicolè
Angelo Hospital, Mestre, Venice, Italy
Angelo Dei Tos
Director of Pathology
Nassir Navab
Professor of Computer Science, Technische Universität München
Azade Farshad
Technical University of Munich, Incoming Assistant Professor at Aalto University
Yousef Yeganeh
Researcher at Technical University of Munich
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