activity
20202026
most citedBiomedical image analysis competitions: The state of current participation practice

17 citations · 18 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

FAF-CD: Frequency-Aware Fusion for Change Detection under Imperfect Multimodal Remote Sensing

Yufan Wang, Sokratis Makrogiannis, Chandra Kambhamettu

Remote sensing change detection for real-world monitoring often relies on imperfect heterogeneous observations, where pre- and post-event images may be asynchronous, cross-sensor,…

cs.CV2026

NeXt2Former-CD: Efficient Remote Sensing Change Detection with Modern Vision Architectures

Yufan Wang, Sokratis Makrogiannis, Chandra Kambhamettu

State Space Models (SSMs) have recently gained traction in remote sensing change detection (CD) for their favorable scaling properties. In this paper, we explore the potential of m…

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…

eess.IV2022★ 1 cited

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training

Qi Yang, Xin Yu, Ho Hin Lee +8

Objective: Thigh muscle group segmentation is important for assessment of muscle anatomy, metabolic disease and aging. Many efforts have been put into quantifying muscle tissues wi…

cs.CV2021

AI in Osteoporosis

Sokratis Makrogiannis, Keni Zheng

In this chapter we explore and evaluate methods for trabecular bone characterization and osteoporosis diagnosis with increased interest in sparse approximations. We first describe…

eess.IV2020

Discriminative Localized Sparse Representations for Breast Cancer Screening

Sokratis Makrogiannis, Chelsea E. Harris, Keni Zheng

Breast cancer is the most common cancer among women both in developed and developing countries. Early detection and diagnosis of breast cancer may reduce its mortality and improve…