Conference Paper 2026
Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis
2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA
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Conference Paper published in 2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA (2026) · 4 authors
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Citation
IEEE
M. R. Tonmoy, D. Che, H. Y. Adarbah, and A. Noore, "Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis," in 2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA, 2026.
BibTeX
@inproceedings{mrtonmoy2026spatially,
title = {Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis},
author = {M. R. Tonmoy and D. Che and H. Y. Adarbah and A. Noore},
booktitle = {2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H), co-located with IEEE/ACM CHASE, Pittsburgh, PA, USA},
year = {2026}
}