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Allison K Lowman

Showing results (11-20 of 22) with videos related to

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Neuro-Oncology|February 17, 2025
Multi-Site Retrospective Analysis of Diffusion and Perfusion MRI Correlates to Glioma Characteristics Derived from Radio-Pathomic MapsSamuel A Bobholz, Daniel Aaronsen, Aleksandra Winiarz, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Radiomic Features of Multiparametric MRI Present Stable Associations With Analogous Histological Features in Patients With Brain CancerSamuel A Bobholz, Allison K Lowman, Alexander Barrington, et al.
Cancers|September 28, 2023
T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical RecurrenceSavannah R Duenweg, Samuel A Bobholz, Michael J Barrett, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 14, 2020
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancerSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Neurosurgery|March 19, 2024
Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast EnhancementSamuel A Bobholz, Allison K Lowman, Jennifer M Connelly, et al.
Research Square|January 9, 2026
Altered Perivascular Diffusivity in Glioblastoma: Integrating DTI-ALPS Index with Radio-Pathomic and Histopathologic CorrelatesBiprojit Nath, Samuel A Bobholz, Daniel C Kim, et al.
Journal of Neuro-Oncology|February 21, 2026
Altered perivascular diffusivity in glioblastoma: integrating DTI-ALPS index with radio-pathomic and histopathologic correlatesBiprojit Nath, Samuel A Bobholz, Daniel C Kim, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI SpaceSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRISavannah R Duenweg, Samuel A Bobholz, Allison K Lowman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2020
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural networkJohn D Bukowy, Halle Foss, Sean D McGarry, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Neuro-Oncology|February 17, 2025
Multi-Site Retrospective Analysis of Diffusion and Perfusion MRI Correlates to Glioma Characteristics Derived from Radio-Pathomic MapsSamuel A Bobholz, Daniel Aaronsen, Aleksandra Winiarz, et al.
Tomography (Ann Arbor, Mich.)|June 18, 2020
Radiomic Features of Multiparametric MRI Present Stable Associations With Analogous Histological Features in Patients With Brain CancerSamuel A Bobholz, Allison K Lowman, Alexander Barrington, et al.
Cancers|September 28, 2023
T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical RecurrenceSavannah R Duenweg, Samuel A Bobholz, Michael J Barrett, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 14, 2020
Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancerSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Neurosurgery|March 19, 2024
Noninvasive Autopsy-Validated Tumor Probability Maps Identify Glioma Invasion Beyond Contrast EnhancementSamuel A Bobholz, Allison K Lowman, Jennifer M Connelly, et al.
Research Square|January 9, 2026
Altered Perivascular Diffusivity in Glioblastoma: Integrating DTI-ALPS Index with Radio-Pathomic and Histopathologic CorrelatesBiprojit Nath, Samuel A Bobholz, Daniel C Kim, et al.
Journal of Neuro-Oncology|February 21, 2026
Altered perivascular diffusivity in glioblastoma: integrating DTI-ALPS index with radio-pathomic and histopathologic correlatesBiprojit Nath, Samuel A Bobholz, Daniel C Kim, et al.
Tomography (Ann Arbor, Mich.)|March 12, 2019
Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI SpaceSean D McGarry, John D Bukowy, Kenneth A Iczkowski, et al.
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRISavannah R Duenweg, Samuel A Bobholz, Allison K Lowman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 16, 2020
Accurate segmentation of prostate cancer histomorphometric features using a weakly supervised convolutional neural networkJohn D Bukowy, Halle Foss, Sean D McGarry, et al.
Pageof 3