Abstract Foundation models for neuro-oncology have shown promise for non-invasive molecular characterization and prognostication, yet their clinical utility remains limited by cross-institutional distribution shift and poor performance on under-represented molecular alterations. We developed NeuroRAD-FM, combining self...
Moinak Bhattacharya, Annie Singh, Angelica P. Kurtz et al.· Research Square· 0 citations
This paper finetune two report generation models with an attention-alignment loss that regularizes the model attention over image patches to match the distribution of pathologist attention, providing stronger visual support for the generated reports by highlighting the regions that most influence the output.
Ruo-Yu Xue, S. Singh, Souradeep Chakraborty et al.· arXiv.org· 0 citations
A clinically curated Pan-Asia WSI--report dataset is introduced and the REG 2025 benchmark is established as a benchmark for evaluating WSI-based structured report generation and vision-language understanding in computational pathology, providing insights for the design of clinically grounded multimodal pathology model...
Yu-Mi Lee, Harim Oh, Hyo-yun Kim et al.· 0 citations
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