KS
Katie Shpanskaya
Deep Learningcs.CVcs.LGBreast NeoplasmsCardiovascular diseasescerebellar mutismCerebellar Neoplasmscs.AIdiffusion tensor imagingMedulloblastoma
On Valency
published · living versionsW_xe24gwhn·v1 · currentpublished
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
with Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu +15
1 version
W_svtxnew3·v1published
Preprints & journals
30 papers in the corpus · 2013–2026Follow-up Recommendations for Young, Average Risk Women With BI-RADS 3 Masses.41217444 · Shpanskaya, Katie, Nguyen, Derek L, Grimm, Lars J et al.2026 · 0 citationsJournal of breast imaging. 2026;8(1):22-31
Echogenic Rind Associated With Suspicious Masses on Ultrasound: Performance for Breast Cancer Diagnosis and Associations With Pathologic Tumor Characteristics.40960244 · Nguyen, Derek L, Grimm, Lars J, Wells, Victoria A et al.2026 · 6 citationsAJR. American journal of roentgenology. 2025;225(6):e2533732
Intramedullary Spinal Cord Tumors and Tumor-Like Lesions.40287249 · Houk, Jessica L, Shpanskaya, Katie, Kranz, Peter G2025 · 3 citationsMagnetic resonance imaging clinics of North America. 2025;33(2):315-329
Intracranial Gunshot Wounds: An Assessment of Patient Characteristics on Surgical Outcomes.39781160 · Chen, Yi-Ren, Johnson, Eli, Ugiliweneza, Beatrice et al.2025 · 1 citationCureus. 2024;16(12):e75412
MRI Radiogenomics of Pediatric Medulloblastoma: A Multicenter Study.35438562 · Zhang, Michael, Wong, Samuel W, Wright, Jason N et al.2022 · 81 citationsRadiology. 2022;304(2):406-416
Attention-guided deep learning for gestational age prediction using fetal brain MRI.35082346 · Shen, Liyue, Zheng, Jimmy, Lee, Edward H et al.2022 · 54 citationsScientific reports. 2022;12(1):1408
MRI Correlates of Ototoxicity in the Auditory Pathway in Children Treated for Medulloblastoma.34739428 · Moon, Peter, Theruvath, Johanna, Chang, Julia et al.2022 · 2 citationsOtology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology. 2022;43(1):e97-e104
Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study.32816765 · Quon, J L, Bala, W, Chen, L C et al.2020 · 76 citationsAJNR. American journal of neuroradiology. 2020;41(9):1718-1725
Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32793812 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2020 · 12 citationsNPJ digital medicine. 2020;3:102
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging.32352039 · Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon et al.2024 · 191 citationsNPJ digital medicine. 2020;3:61
Altered cerebral perfusion in children with Langerhans cell histiocytosis after chemotherapy.31802628 · Han, Michelle, Kim, Lily H, Shpanskaya, Katie et al.2020 · 1 citationPediatric blood & cancer. 2020;67(3):e28104
Diffusion tensor magnetic resonance imaging of the optic nerves in pediatric hydrocephalus.31786546 · Shpanskaya, Katie, Quon, Jennifer L, Lober, Robert M et al.2020 · 2 citationsNeurosurgical focus. 2019;47(6):E16
Deep Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs.31542278 · Ni, Jason C, Shpanskaya, Katie, Han, Michelle et al.2020 · 23 citationsJournal of vascular and interventional radiology : JVIR. 2020;31(1):66-73
Arterial spin labeling perfusion changes of the frontal lobes in children with posterior fossa syndrome.31374541 · Yecies, Derek, Shpanskaya, Katie, Jabarkheel, Rashad et al.2024 · 6 citationsJournal of neurosurgery. Pediatrics. 2019;24(4):382-388
Posterior fossa syndrome and increased mean diffusivity in the olivary bodies.31349230 · Yecies, Derek, Jabarkheel, Rashad, Han, Michelle et al.2024 · 9 citationsJournal of neurosurgery. Pediatrics. 2019;24(4):376-381
Pediatric Interventional Oncology: Endovascular, Percutaneous, and Palliative Procedures.31706369 · Shpanskaya, Katie, Lungren, Matthew P, Tulin-Silver, Sheryl2020 · 5 citationsSeminars in roentgenology. 2019;54(4):359-366
Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.31173130 · Park, Allison, Chute, Chris, Rajpurkar, Pranav et al.2020 · 258 citationsJAMA network open. 2019;2(6):e195600
Age-Dependent White Matter Characteristics of the Cerebellar Peduncles from Infancy Through Adolescence.30637673 · Bruckert, Lisa, Shpanskaya, Katie, McKenna, Emily S et al.2019 · 30 citationsCerebellum (London, England). 2019;18(3):372-387
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison1901.07031v1 · Jeremy Irvin, Pranav Rajpurkar, Michael Ko et al.2019 · 2,972 citationsarXivon Valency
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain1812.07102v1 · Liyue Shen, Katie Shpanskaya, Edward Lee et al.2018 · 9 citationsarXiv
MR Imaging-Based Radiomic Signatures of Distinct Molecular Subgroups of Medulloblastoma.30523141 · Iv, M, Zhou, M, Shpanskaya, K et al.2020 · 129 citationsAJNR. American journal of neuroradiology. 2019;40(1):154-161
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.30481176 · Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L et al.2019 · 733 citationsPLoS medicine. 2018;15(11):e1002699
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.30457988 · Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L et al.2019 · 1,447 citationsPLoS medicine. 2018;15(11):e1002686
Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer's disease.29748598 · Sohn, Dongwha, Shpanskaya, Katie, Lucas, Joseph E et al.2019 · 160 citationsScientific reports. 2018;8(1):7490
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs1712.06957v4 · Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul et al.2017 · 254 citationsarXiv
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning1711.05225v3 · Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu et al.2017 · 2,279 citationsarXivon Valency
Toward Personalized Network Biomarkers in Alzheimer's Disease: Computing Individualized Genomic and Protein Crosstalk Maps.29085293 · Padmanabhan, Kanchana, Shpanskaya, Katie, Bello, Gonzalo et al.2020 · 6 citationsFrontiers in aging neuroscience. 2017;9:315
Educational attainment and hippocampal atrophy in the Alzheimer's disease neuroimaging initiative cohort.24485897 · Shpanskaya, Katie S, Choudhury, Kingshuk Roy, Hostage, Christopher et al.2015 · 46 citationsJournal of neuroradiology = Journal de neuroradiologie. 2014;41(5):350-7
Impact of ¹⁸F-florbetapir PET imaging of β-amyloid neuritic plaque density on clinical decision-making.23672654 · Zannas, Anthony S, Doraiswamy, P Murali, Shpanskaya, Katie S et al.2014 · 20 citationsNeurocase. 2014;20(4):466-73
Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth.23624169 · Murphy, Kelly R, Landau, Susan M, Choudhury, Kingshuk Roy et al.2014 · 50 citationsNeuroImage. 2013;78:474-80
Career total: 56 works. 30 are in this corpus.
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