output
20152025
most citedDeep neural network models for computational histopathology: A survey

766 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

6 papers · 1 filter

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…

cs.CV2022★ 469 cited

Metrics reloaded: Recommendations for image analysis validation

Lena Maier-Hein, Annika Reinke, Patrick Godau +71

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…

cs.CV2019★ 23 cited

Learning to segment images with classification labels

Ozan Ciga, Anne L. Martel

Two of the most common tasks in medical imaging are classification and segmentation. Either task requires labeled data annotated by experts, which is scarce and expensive to collec…

cs.CV2019★ 211 cited

Prostate Cancer Detection using Deep Convolutional Neural Networks

Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider +1

Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tool…

cs.CV2017★ 153 cited

Perivascular Spaces Segmentation in Brain MRI Using Optimal 3D Filtering

Lucia Ballerini, Ruggiero Lovreglio, Maria del C. Valdes-Hernandez +4

Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel Disease (SVD), also indicating neuroinflammation, and are an important part of the brain's circulation a…

cs.CV2015

Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields

Edward Li, Farzad Khalvati, Mohammad Javad Shafiee +2

Magnetic Resonance Imaging (MRI) is a crucial medical imaging technology for the screening and diagnosis of frequently occurring cancers. However image quality may suffer by long a…