most citedGravitational waves from first-order cosmological phase transitions: lifetime of the sound wave source

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cs.CV2026★ 2 cited

OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations

Junwen Wang, Zhonghao Wang, Oscar MacCormac +2

Despite significant advancements, segmentation based on deep neural networks in medical and surgical imaging faces several challenges, two of which we aim to address in this work.…

cs.CV2026★ 2 cited

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation

Theodore Barfoot, Luis C. Garcia-Peraza-Herrera, Samet Akcay +2

Deep neural networks for medical image segmentation are often overconfident, compromising both reliability and clinical utility. In this work, we propose differentiable formulation…

cs.CV2026★ 2 cited

ROBUST-MIPS: A Combined Skeletal Pose and Instance Segmentation Dataset for Laparoscopic Surgical Instruments

Zhe Han, Charlie Budd, Gongyu Zhang +3

Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typically focus on training deep lea…