activity
20202023
most citedThe RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

89 citations · 120 across the 9 of their papers we have counts for

collaborators

9 papers

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.IV2022

Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders

Hamza Kebiri, Gabriel Girard, Yasser Aleman-Gomez +4

Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3-5 mm…

eess.IV2022★ 6 cited

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI

Thomas Yu, Tom Hilbert, Gian Franco Piredda +8

Deep learning methods have become the state of the art for undersampled MR reconstruction. Particularly for cases where it is infeasible or impossible for ground truth, fully sampl…

physics.med-ph2021★ 1 cited

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom

Hélène Lajous, Christopher W. Roy, Tom Hilbert +16

Accurate characterization of in utero human brain maturation is critical as it involves complex and interconnected structural and functional processes that may influence health lat…

cs.CV2021★ 89 cited

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Ujjwal Baid, Satyam Ghodasara, Suyash Mohan +100

The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR)…

cs.CV2021

Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images

Mohammad Saeed Rad, Thomas Yu, Behzad Bozorgtabar +1

Existing reference (RF)-based super-resolution (SR) models try to improve perceptual quality in SR under the assumption of the availability of high-resolution RF images paired with…