11 papers
Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification
Ha-Hieu Pham, Hai-Dang Nguyen, Dang P. M. Cao +5
In chest X-ray (CXR) classification, acceptable ranking performance can still leave rare-positive patients below threshold, especially within subgroups. We study this pre-deploymen…
Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1
Existing weakly supervised semantic segmentation (WSSS) methods in computational pathology rely on a multi-stage paradigm: class activation map (CAM) generation, offline pseudo-mas…
MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu Pham
Although multi-scales representation learning enables elastic-dimension embeddings, nested subspaces often suffer from dimensional redundancy and spectral collapse. To address this…
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu Pham
High-fidelity ECG interpretation is increasingly reliant on massive foundation models, yet their deployment in clinical edge-care remains hindered by extreme computational demands.…
CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
Hexin Dong, Yi Lin, Pengyu Zhou +25
Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing benchmarks often rely on cl…
Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
Duc T. Nguyen, Hoang-Long Nguyen, Huy-Hieu Pham
Automated white blood cell (WBC) classification is essential for leukemia screening but remains challenged by extreme class imbalance, long-tail distributions, and domain shift, le…