Md Abdul Kadir

According to our database, Md Abdul Kadir authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models.

Hasan Md Tusfiqur Alam, Devansh Srivastav, Abdulrahman Mohamed Selim, Md Abdul Kadir, Md Moktadirul Hoque Shuvo, Daniel Sonntag

Proceedings of the Companion Proceedings of the 17th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2025

Towards Interpretable Radiology Report Generation via Concept Bottlenecks Using a Multi-agentic RAG.

Hasan Md Tusfiqur Alam, Devansh Srivastav, Md Abdul Kadir, Daniel Sonntag

Proceedings of the Advances in Information Retrieval, 2025

2024

Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios.

Md Abdul Kadir, Hasan Md Tusfiqur Alam, Devansh Srivastav, Hans-Jürgen Profitlich, Daniel Sonntag

Künstliche Intell., November, 2024

Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors.

Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag

CoRR, 2024

Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project.

Md Abdul Kadir, Hasan Md Tusfiqur Alam, Pascale Maul, Hans-Jürgen Profitlich, Moritz Wolf, Daniel Sonntag

CoRR, 2024

2023

Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust.

Md Abdul Kadir, Fabrizio Nunnari, Daniel Sonntag

CoRR, 2023

EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation.

Md Abdul Kadir, Hasan Md Tusfiqur Alam, Daniel Sonntag

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.

Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag

Proceedings of the KI 2023: Advances in Artificial Intelligence, 2023

A User Interface for Explaining Machine Learning Model Explanations.

Md Abdul Kadir, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

2021

On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images.

Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag

Proceedings of the Machine Learning and Knowledge Extraction, 2021