activity
20162022
most citedWhy rankings of biomedical image analysis competitions should be interpreted with care

387 citations · 396 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 8 cited

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples

Natalia Garcia Martin, Stefano Malacrino, Marta Wojciechowska +8

Multiplexed immunofluorescence provides an unprecedented opportunity for studying specific cell-to-cell and cell microenvironment interactions. We employ graph neural networks to c…

cs.CV2018

Improving Whole Slide Segmentation Through Visual Context - A Systematic Study

Korsuk Sirinukunwattana, Nasullah Khalid Alham, Clare Verrill +1

While challenging, the dense segmentation of histology images is a necessary first step to assess changes in tissue architecture and cellular morphology. Although specific convolut…

cs.CV2018★ 387 cited

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of c…

cs.CV2018★ 1 cited

Novel digital tissue phenotypic signatures of distant metastasis in colorectal cancer

Korsuk Sirinukunwattana, David Snead, David Epstein +5

Distant metastasis is the major cause of death in colorectal cancer (CRC). Patients at high risk of developing distant metastasis could benefit from appropriate adjuvant and follow…

cs.CV2016

Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest

Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen +16

Colorectal adenocarcinoma originating in intestinal glandular structures is the most common form of colon cancer. In clinical practice, the morphology of intestinal glands, includi…