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20182026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 485 across the 9 of their papers we have counts for

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4 papers · 1 filter

eess.IV2023★ 12 cited

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu +62

Automated brain tumor segmentation methods have become well-established and reached performance levels offering clear clinical utility. These methods typically rely on four input m…

eess.IV2023★ 4 cited

The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting

Florian Kofler, Felix Meissen, Felix Steinbauer +103

A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition ti…

eess.IV2022★ 36 cited

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network

Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony +2

Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status are important prognostic markers for glioma. Currently, they are determined using invasive procedures. Our goal…

eess.IV2022★ 9 cited

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)

Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa +12

Efforts to utilize growing volumes of clinical imaging data to generate tumor evaluations continue to require significant manual data wrangling owing to the data heterogeneity. Her…