User profiles for J. Cluceru
 | Julia CluceruGenentech Verified email at ucsf.edu Cited by 235 |
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging
Background Diagnostic classification of diffuse gliomas now requires an assessment of
molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic …
molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic …
[HTML][HTML] Deep learning to predict geographic atrophy area and growth rate from multimodal imaging
Objective To develop deep learning models for annualized geographic atrophy (GA) growth
rate prediction using fundus autofluorescence (FAF) images and spectral-domain OCT …
rate prediction using fundus autofluorescence (FAF) images and spectral-domain OCT …
Flt-1 (VEGFR-1) coordinates discrete stages of blood vessel formation
Aims In developing blood vessel networks, the overall level of vessel branching often correlates
with angiogenic sprout initiations, but in some pathological situations, increased sprout …
with angiogenic sprout initiations, but in some pathological situations, increased sprout …
Blood vessel anastomosis is spatially regulated by Flt1 during angiogenesis
… (J) Schematic of anastomosis dynamics and connection site selection during angiogenesis.
… (J) Schematic of anastomosis dynamics and connection site selection during angiogenesis. …
… (J) Schematic of anastomosis dynamics and connection site selection during angiogenesis. …
Improving the automatic classification of brain mri acquisition contrast with machine learning
… J, K Region J contains both axial and sagittal images with varied contrast compared with
region K which appears more uniform. L Examples of images located in region L depicting …
region K which appears more uniform. L Examples of images located in region L depicting …
Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks
Many biological processes are controlled by both deterministic and stochastic influences.
However, efforts to model these systems often rely on either purely stochastic or purely rule-…
However, efforts to model these systems often rely on either purely stochastic or purely rule-…
Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas
Background Differentiating treatment-induced injury from recurrent high-grade glioma is an
ongoing challenge in neuro-oncology, in part due to lesion heterogeneity. This study aimed …
ongoing challenge in neuro-oncology, in part due to lesion heterogeneity. This study aimed …
[HTML][HTML] Predicting geographic atrophy growth rate with clinical and derived imaging features
J Cluceru, O Slama, N Anegondi… - … & Visual Science, 2023 - iovs.arvojournals.org
Purpose: To explore the contribution of clinical and derived fundus autofluorescence (FAF)
imaging features in the models for predicting geographic atrophy (GA) growth rate. Methods: …
imaging features in the models for predicting geographic atrophy (GA) growth rate. Methods: …
[BOOK][B] Toward improving the diagnosis of glioma
J Cluceru - 2021 - search.proquest.com
… To my mother, Margaret Louise Marks Cluceru, this dissertation is dedicated to you. I wish …
, my sister, Heather Higle, and my father Valentin Cluceru for shaping me into who I am. Mom’…
, my sister, Heather Higle, and my father Valentin Cluceru for shaping me into who I am. Mom’…
Centrally reduced diffusion sign for differentiation between treatment-related lesions and glioma progression: a validation study
P Alcaide-Leon, J Cluceru, JM Lupo… - American Journal …, 2020 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Differentiating between treatment-related lesions and
tumor progression remains one of the greatest dilemmas in neuro-oncology. Diffusion MR …
tumor progression remains one of the greatest dilemmas in neuro-oncology. Diffusion MR …
