Publications

All eighteen, newest first.

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188 citations, h-index 7, i10-index 6 on Google Scholar, checked 25 October 2026. † first author, * equal contribution, ◇ led by a student I mentored.

2026

  1. ◇ Routing subspaces: auditing evaluation-to-deployment mismatch in fine-tuned language models

    P. M. Konrad, T. Tanyel, S. Ayvaz

    Advances in Neural Information Processing Systems (NeurIPS), 2026Main track·arXiv

  2. ◇ Self-reports do not identify self-models: an identifiability test for counterfactual reports

    P. M. Konrad, T. Tanyel, S. Ayvaz

    ICML 2026 Workshop on Philosophy of Machine Learning, 2026Oral·arXiv·OpenReview

  3. ◇ Decoded but unused: instruction tuning routes moral framing into the judgment readout

    P. M. Konrad, T. Tanyel, S. Ayvaz

    ICML 2026 Workshop on Mechanistic Interpretability, 2026·OpenReview

  4. A path already walked: on inheriting network-neuroscience tools for mechanistic interpretability

    P. M. Konrad, T. Tanyel, S. Ayvaz·I conceived and led this work

    ICML 2026 Workshop on Mechanistic Interpretability, 2026·OpenReview

  5. * Landmark regression with attention U-Net for assessing breast positioning quality in MLO mammography view

    N. Denizoglu*, T. Tanyel*, E. C. Erkan, M. E. Seker, E. Meltem, et al.

    Diagnostics, 2026·doi·code

2025

  1. † Interpretable ECG analysis for myocardial infarction detection through counterfactuals

    T. Tanyel, S. Atmaca, K. Gokce, M. Y. Balik, A. Guler, E. Aslanger, I. Oksuz

    Biomedical Signal Processing and Control, 2025·doi·arXiv·code

  2. * Annotation-efficient, patch-based, explainable deep learning using a curriculum method for breast cancer detection in screening mammography

    O. Camurdan*, T. Tanyel*, E. Aktufan Cerekci, D. Alis, E. Meltem, N. Denizoglu, et al.

    Insights into Imaging, 2025·doi

  3. † Evaluation of explainability methods in medical image analysis

    T. Tanyel, I. Oksuz

    In Explainable Machine Intelligence in Healthcare, 2025Book chapter·doi

  4. ◇ Beyond major floods: deep learning for detecting shallow water inundation in agricultural areas

    P. M. Konrad, T. Tanyel, S. Ayvaz

    Procedia Computer Science, 2025·doi

  5. Transfer learning for echocardiographic detection of HFpEF: preliminary results of the TALE-HFpEF study

    G. Babur Guler, Y. A. Er, A. Guler, H. Uysal, A. K. Kalkan, T. Tanyel, M. Erturk, et al.

    European Heart Journal – Cardiovascular Imaging, 2025Abstract·doi

2024

  1. † Mammographic breast positioning assessment via deep learning

    T. Tanyel, N. Denizoglu, M. E. Seker, D. Alis, E. Cerekci, E. Karaarslan, et al.

    Deep-Breast Workshop, MICCAI 2024, 2024·doi

  2. † Estimation of two-dimensional electric field distribution through deep learning: preliminary study

    T. Tanyel, G. Yildiz, C. Aydinalp, I. Oksuz

    IEEE Signal Processing and Communications Applications Conference (SIU), 2024·doi

  3. Quantitative evaluation of saliency-based explainable AI (XAI) methods in deep-learning-based mammogram analysis

    E. Cerekci, D. Alis, N. Denizoglu, O. Camurdan, M. E. Seker, C. Ozer, …, T. Tanyel, et al.

    European Journal of Radiology, 2024·doi

  4. Choosing the right artificial intelligence solutions for your radiology department: key factors to consider

    D. Alis, T. Tanyel, E. Meltem, M. E. Seker, D. Seker, H. M. Karakas, et al.

    Diagnostic and Interventional Radiology, 2024·doi

  5. † Developing linguistic patterns to mitigate inherent human bias in offensive language detection

    T. Tanyel, B. Alkurdi, S. Ayvaz

    Turkish Journal of Electrical Engineering and Computer Sciences, 2024·doi

2023

  1. † Deciphering machine-learning decisions to distinguish between posterior fossa tumor types using MRI features

    T. Tanyel, C. Nadarajan, N. M. Duc, B. Keserci

    Cancers, 2023·doi·code

  2. † Beyond known reality: exploiting counterfactual explanations for medical research

    T. Tanyel, S. Ayvaz, B. Keserci

    arXiv preprint 2307.02131, 2023·arXiv

2022

  1. † Linguistic-based data augmentation approach for offensive language detection

    T. Tanyel, B. Alkurdi, S. Ayvaz

    International Conference on Computer Science and Engineering (UBMK), 2022·doi