The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 831 | 2021 |
Waxholm Space atlas of the Sprague Dawley rat brain EA Papp, TB Leergaard, E Calabrese, GA Johnson, JG Bjaalie Neuroimage 97, 374-386, 2014 | 414 | 2014 |
A diffusion MRI tractography connectome of the mouse brain and comparison with neuronal tracer data E Calabrese, A Badea, G Cofer, Y Qi, GA Johnson Cerebral cortex 25 (11), 4628-4637, 2015 | 242 | 2015 |
Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 226 | 2022 |
A diffusion tensor MRI atlas of the postmortem rhesus macaque brain E Calabrese, A Badea, CL Coe, GR Lubach, Y Shi, MA Styner, ... Neuroimage 117, 408-416, 2015 | 193 | 2015 |
Spinal cord gray matter segmentation using deep dilated convolutions CS Perone, E Calabrese, J Cohen-Adad Scientific reports 8 (1), 5966, 2018 | 153 | 2018 |
A quantitative magnetic resonance histology atlas of postnatal rat brain development with regional estimates of growth and variability E Calabrese, A Badea, C Watson, GA Johnson Neuroimage 71, 196-206, 2013 | 135 | 2013 |
A multidimensional magnetic resonance histology atlas of the Wistar rat brain GA Johnson, E Calabrese, A Badea, G Paxinos, C Watson Neuroimage 62 (3), 1848-1856, 2012 | 128 | 2012 |
Postmortem diffusion MRI of the human brainstem and thalamus for deep brain stimulator electrode localization E Calabrese, P Hickey, C Hulette, J Zhang, B Parente, SP Lad, ... Human brain mapping 36 (8), 3167-3178, 2015 | 104 | 2015 |
Diffusion tractography in deep brain stimulation surgery: a review E Calabrese Frontiers in neuroanatomy 10, 45, 2016 | 93 | 2016 |
Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T KR Sitek, OF Gulban, E Calabrese, GA Johnson, A Lage-Castellanos, ... elife 8, e48932, 2019 | 83 | 2019 |
The University of California San Francisco preoperative diffuse glioma MRI dataset E Calabrese, JE Villanueva-Meyer, JD Rudie, AM Rauschecker, U Baid, ... Radiology: Artificial Intelligence 4 (6), e220058, 2022 | 80 | 2022 |
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv 2021 U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 72 | 2021 |
The brain tumor segmentation (BraTS) challenge 2023: focus on pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) AF Kazerooni, N Khalili, X Liu, D Haldar, Z Jiang, SM Anwar, J Albrecht, ... ArXiv, arXiv: 2305.17033 v7, 2024 | 69 | 2024 |
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas E Calabrese, JE Villanueva-Meyer, S Cha Scientific reports 10 (1), 11852, 2020 | 69 | 2020 |
Diffusion tensor imaging reveals white matter injury in a rat model of repetitive blast-induced traumatic brain injury E Calabrese, F Du, RH Garman, GA Johnson, C Riccio, LC Tong, JB Long Journal of neurotrauma 31 (10), 938-950, 2014 | 62 | 2014 |
Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma E Calabrese, JD Rudie, AM Rauschecker, JE Villanueva-Meyer, ... Neuro-oncology advances 4 (1), vdac060, 2022 | 57 | 2022 |
The brain tumor segmentation (brats) challenge 2023: glioma segmentation in sub-saharan Africa patient population (brats-africa) M Adewole, JD Rudie, A Gbdamosi, O Toyobo, C Raymond, D Zhang, ... ArXiv, 2023 | 56 | 2023 |
The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients B Baheti, D Waldmannstetter, S Chakrabarty, M Akbari, M Bilello, ... ArXiv. org, 2021 | 53 | 2021 |
The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri AW Moawad, A Janas, U Baid, D Ramakrishnan, R Saluja, N Ashraf, ... arXiv preprint arXiv:2306.00838, 2023 | 44 | 2023 |