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20212023
most citedBiomedical image analysis competitions: The state of current participation practice

17 citations · 17 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment

Amirsaeed Yazdani, Xuelu Li, Vishal Monga

Active Learning (AL) for semantic segmentation is challenging due to heavy class imbalance and different ways of defining "sample" (pixels, areas, etc.), leaving the interpretation…

cs.CV2022★ 17 cited

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, Annika Reinke, Vivienn Weru +352

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…

cs.CV2021

Physically Inspired Dense Fusion Networks for Relighting

Amirsaeed Yazdani, Tiantong Guo, Vishal Monga

Image relighting has emerged as a problem of significant research interest inspired by augmented reality applications. Physics-based traditional methods, as well as black box deep…

eess.IV2021

Simultaneous Denoising and Localization Network for Photoacoustic Target Localization

Amirsaeed Yazdani, Sumit Agrawal, Kerrick Johnstonbaugh +2

A significant research problem of recent interest is the localization of targets like vessels, surgical needles, and tumors in photoacoustic (PA) images. To achieve accurate locali…

cs.CV2021

NTIRE 2021 Depth Guided Image Relighting Challenge

Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1

Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…

eess.IV2021

Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks

Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens +2

It is common in anthropology and paleontology to address questions about extant and extinct species through the quantification of osteological features observable in micro-computed…