Year |
Citation |
Score |
2025 |
Fathi Kazerooni A, Kraya A, Rathi KS, Kim MC, Vossough A, Khalili N, Familiar AM, Gandhi D, Khalili N, Kesherwani V, Haldar D, Anderson H, Jin R, Mahtabfar A, Bagheri S, et al. Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma. Nature Communications. 16: 340. PMID 39747214 DOI: 10.1038/s41467-024-55659-z |
0.475 |
|
2024 |
Gandhi DB, Khalili N, Familiar AM, Gottipati A, Khalili N, Tu W, Haldar S, Anderson H, Viswanathan K, Storm PB, Ware JB, Resnick A, Vossough A, Nabavizadeh A, Fathi Kazerooni A. Automated pediatric brain tumor imaging assessment tool from CBTN: Enhancing suprasellar region inclusion and managing limited data with deep learning. Neuro-Oncology Advances. 6: vdae190. PMID 39717438 DOI: 10.1093/noajnl/vdae190 |
0.562 |
|
2024 |
Familiar AM, Khalili N, Khalili N, Schuman C, Grove E, Viswanathan K, Seidlitz J, Alexander-Bloch A, Zapaishchykova A, Kann BH, Vossough A, Storm PB, Resnick AC, Kazerooni AF, Nabavizadeh A. Empowering Data Sharing in Neuroscience: A Deep Learning De-identification Method for Pediatric Brain MRIs. Ajnr. American Journal of Neuroradiology. PMID 39532533 DOI: 10.3174/ajnr.A8581 |
0.5 |
|
2024 |
Familiar AM, Fathi Kazerooni A, Vossough A, Ware JB, Bagheri S, Khalili N, Anderson H, Haldar D, Storm PB, Resnick AC, Kann BH, Aboian M, Kline C, Weller M, Huang RY, et al. Towards Consistency in Pediatric Brain Tumor Measurements: Challenges, Solutions, and the Role of AI-Based Segmentation. Neuro-Oncology. PMID 38769022 DOI: 10.1093/neuonc/noae093 |
0.552 |
|
2024 |
Vossough A, Khalili N, Familiar AM, Gandhi D, Viswanathan K, Tu W, Haldar D, Bagheri S, Anderson H, Haldar S, Storm PB, Resnick A, Ware JB, Nabavizadeh A, Fathi Kazerooni A. Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors. Ajnr. American Journal of Neuroradiology. PMID 38724204 DOI: 10.3174/ajnr.A8293 |
0.556 |
|
2024 |
Tak D, Ye Z, Zapaischykova A, Zha Y, Boyd A, Vajapeyam S, Chopra R, Hayat H, Prabhu S, Liu KX, Elhalawani H, Nabavizadeh A, Familiar A, Resnick A, Mueller S, et al. Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial Intelligence. e230333. PMID 38446044 DOI: 10.1148/ryai.230333 |
0.544 |
|
2023 |
Familiar AM, Kazerooni AF, Anderson H, Lubneuski A, Viswanathan K, Breslow R, Khalili N, Bagheri S, Haldar D, Kim MC, Arif S, Madhogarhia R, Nguyen TQ, Frenkel EA, Helili Z, et al. A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. Arxiv. PMID 38106459 |
0.56 |
|
2023 |
Khalili N, Shooli H, Hosseini N, Fathi Kazerooni A, Familiar A, Bagheri S, Anderson H, Bagley SJ, Nabavizadeh A. Adding Value to Liquid Biopsy for Brain Tumors: The Role of Imaging. Cancers. 15. PMID 37958372 DOI: 10.3390/cancers15215198 |
0.405 |
|
2023 |
Zapaishchykova A, Liu KX, Saraf A, Ye Z, Catalano PJ, Benitez V, Ravipati Y, Jain A, Huang J, Hayat H, Likitlersuang J, Vajapeyam S, Chopra RB, Familiar AM, Nabavidazeh A, et al. Automated temporalis muscle quantification and growth charts for children through adulthood. Nature Communications. 14: 6863. PMID 37945573 DOI: 10.1038/s41467-023-42501-1 |
0.506 |
|
2023 |
Familiar AM, Mahtabfar A, Fathi Kazerooni A, Kiani M, Vossough A, Viaene A, Storm PB, Resnick AC, Nabavizadeh A. Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges. Neuro-Oncology Advances. 5: vdad119. PMID 37841693 DOI: 10.1093/noajnl/vdad119 |
0.557 |
|
2023 |
Tak D, Ye Z, Zapaischykova A, Boyd A, Vajapeyam S, Chopra R, Zha Y, Hayat H, Prabhu S, Liu KX, Elhalawani H, Nabavidazeh A, Familiar A, Resnick A, Mueller S, et al. Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. Medrxiv : the Preprint Server For Health Sciences. PMID 37609311 DOI: 10.1101/2023.08.04.23293673 |
0.504 |
|
2023 |
LaBella D, Adewole M, Alonso-Basanta M, Altes T, Anwar SM, Baid U, Bergquist T, Bhalerao R, Chen S, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Godfrey D, ... ... Familiar A, et al. The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. Arxiv. PMID 37608937 |
0.647 |
|
2023 |
Li HB, Conte GM, Anwar SM, Kofler F, Ezhov I, van Leemput K, Piraud M, Diaz M, Cole B, Calabrese E, Rudie J, Meissen F, Adewole M, Janas A, Kazerooni AF, ... ... Familiar A, et al. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). Arxiv. PMID 37608932 |
0.633 |
|
2023 |
Bagheri S, Taghvaei M, Familiar A, Haldar D, Zandifar A, Khalili N, Vossough A, Nabavizadeh A. Statistical plots in oncologic imaging, a primer for neuroradiologists. The Neuroradiology Journal. 19714009231193158. PMID 37529843 DOI: 10.1177/19714009231193158 |
0.31 |
|
2023 |
Adewole M, Rudie JD, Gbadamosi A, Toyobo O, Raymond C, Zhang D, Omidiji O, Akinola R, Suwaid MA, Emegoakor A, Ojo N, Aguh K, Kalaiwo C, Babatunde G, Ogunleye A, ... ... Familiar A, et al. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). Arxiv. PMID 37396608 |
0.414 |
|
2023 |
Moawad AW, Janas A, Baid U, Ramakrishnan D, Jekel L, Krantchev K, Moy H, Saluja R, Osenberg K, Wilms K, Kaur M, Avesta A, Pedersen GC, Maleki N, Salimi M, ... ... Familiar A, et al. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. Arxiv. PMID 37396600 |
0.363 |
|
2023 |
Khalili N, Kazerooni AF, Familiar A, Haldar D, Kraya A, Foster J, Koptyra M, Storm PB, Resnick AC, Nabavizadeh A. Radiomics for characterization of the glioma immune microenvironment. Npj Precision Oncology. 7: 59. PMID 37337080 DOI: 10.1038/s41698-023-00413-9 |
0.557 |
|
2023 |
Kazerooni AF, Khalili N, Liu X, Haldar D, Jiang Z, Anwar SM, Albrecht J, Adewole M, Anazodo U, Anderson H, Bagheri S, Baid U, Bergquist T, Calabrese E, Chung V, ... ... Familiar A, et al. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). Arxiv. PMID 37292481 |
0.596 |
|
2023 |
Fathi Kazerooni A, Arif S, Madhogarhia R, Khalili N, Haldar D, Bagheri S, Familiar AM, Anderson H, Haldar S, Tu W, Chul Kim M, Viswanathan K, Muller S, Prados M, Kline C, et al. Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study. Neuro-Oncology Advances. 5: vdad027. PMID 37051331 DOI: 10.1093/noajnl/vdad027 |
0.593 |
|
2023 |
Kazerooni AF, Arif S, Madhogarhia R, Khalili N, Haldar D, Bagheri S, Familiar AM, Anderson H, Haldar S, Tu W, Kim MC, Viswanathan K, Muller S, Prados M, Kline C, et al. Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-Institutional Study. Medrxiv : the Preprint Server For Health Sciences. PMID 36711966 DOI: 10.1101/2023.01.02.22284037 |
0.593 |
|
2022 |
Haldar D, Kazerooni AF, Arif S, Familiar A, Madhogarhia R, Khalili N, Bagheri S, Anderson H, Shaikh IS, Mahtabfar A, Kim MC, Tu W, Ware J, Vossough A, Davatzikos C, et al. Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers. Neoplasia (New York, N.Y.). 36: 100869. PMID 36566592 DOI: 10.1016/j.neo.2022.100869 |
0.534 |
|
2022 |
Familiar AM, Fathi Kazerooni A. Editorial for "Age-Related Differences of Cortical Topology Across the Adult Lifespan: Evidence From a Multisite MRI Study With 1427 Individuals". Journal of Magnetic Resonance Imaging : Jmri. PMID 35924785 DOI: 10.1002/jmri.28375 |
0.226 |
|
2022 |
Madhogarhia R, Haldar D, Bagheri S, Familiar A, Anderson H, Arif S, Vossough A, Storm P, Resnick A, Davatzikos C, Fathi Kazerooni A, Nabavizadeh A. Radiomics and radiogenomics in pediatric neuro-oncology: A review. Neuro-Oncology Advances. 4: vdac083. PMID 35795472 DOI: 10.1093/noajnl/vdac083 |
0.533 |
|
2018 |
Matheson HE, Familiar AM, Thompson-Schill SL. Investigating grounded conceptualization: motor system state-dependence facilitates familiarity judgments of novel tools. Psychological Research. PMID 29500490 DOI: 10.1007/s00426-018-0997-4 |
0.535 |
|
2017 |
Familiar A, Matheson H, Thompson-Schill S. Representation of visual and motor object features in human cortex Journal of Vision. 17: 285. DOI: 10.1167/17.10.285 |
0.547 |
|
2016 |
Ziman K, Familiar A, Shim WM. Positive affect worsens ensemble coding performance Journal of Vision. 16: 59. DOI: 10.1167/16.12.59 |
0.593 |
|
2015 |
Chong E, Familiar AM, Shim WM. Reconstructing representations of dynamic visual objects in early visual cortex. Proceedings of the National Academy of Sciences of the United States of America. PMID 26712004 DOI: 10.1073/Pnas.1512144113 |
0.533 |
|
2015 |
Familiar A, Uddenberg S, Shim WM. Positive affect reduces visual crowding. Journal of Vision. 15: 450. PMID 26326138 DOI: 10.1167/15.12.450 |
0.512 |
|
2014 |
Familiar A, Chong E, Shim WM. Interpolated visual features during apparent motion are represented in primary visual cortex F1000research. 14: 286-286. DOI: 10.7490/F1000Research.1095824.1 |
0.241 |
|
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