output
20042025
most citedUnderstanding metric-related pitfalls in image analysis validation

204 citations

13 papers

cs.CV2025★ 3 cited

An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention

Shuo Zhao, Yu Zhou, Jianxu Chen

Biomedical image segmentation is critical for precise structure delineation and downstream analysis. Traditional methods often struggle with noisy data, while deep learning models…

physics.plasm-ph2025

Ultrafast ps--TALIF and streak camera diagnostics of atomic hydrogen in a helium microplasma jet

Dimitrios Stefas, Yanis Agha, Laurent Invernizzi +6

Picosecond two-photon absorption laser induced fluorescence (ps--TALIF) is combined with a streak camera (1 ps highest temporal resolution) to probe the effective lifetime ($…

cs.AI2024★ 21 cited

Multimodal Large Language Models for Bioimage Analysis

Shanghang Zhang, Gaole Dai, Tiejun Huang +1

Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scale…

cs.SE2023★ 4 cited

Multisensory extended reality applications offer benefits for volumetric biomedical image analysis in research and medicine

Kathrin Krieger, Jan Egger, Jens Kleesiek +2

3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. While the fast development of AI enhances imaging and analysis…

cs.CV2023★ 35 cited

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Jianning Li, Zongwei Zhou, Jiancheng Yang +154

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…

cs.CV2023★ 204 cited

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner +75

Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation int…