| Flt-1 (VEGFR-1) coordinates discrete stages of blood vessel formation JC Chappell, JG Cluceru, JE Nesmith, KP Mouillesseaux, VB Bradley, ... Cardiovascular research 111 (1), 84-93, 2016 | 58 | 2016 |
| Blood vessel anastomosis is spatially regulated by Flt1 during angiogenesis JE Nesmith, JC Chappell, JG Cluceru, VL Bautch Development 144 (5), 889-896, 2017 | 54 | 2017 |
| Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging J Cluceru, Y Interian, JJ Phillips, AM Molinaro, TL Luks, P Alcaide-Leon, ... Neuro-oncology 24 (4), 639-652, 2022 | 38 | 2022 |
| Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks J Walpole, JC Chappell, JG Cluceru, F Mac Gabhann, VL Bautch, ... Integrative Biology 7 (9), 987-997, 2015 | 38 | 2015 |
| Deep learning to predict geographic atrophy area and growth rate from multimodal imaging N Anegondi, SS Gao, V Steffen, RF Spaide, SVR Sadda, FG Holz, C Rabe, ... Ophthalmology Retina 7 (3), 243-252, 2023 | 27 | 2023 |
| Centrally reduced diffusion sign for differentiation between treatment-related lesions and glioma progression: a validation study P Alcaide-Leon, J Cluceru, JM Lupo, TJ Yu, TL Luks, T Tihan, NA Bush, ... American Journal of Neuroradiology 41 (11), 2049-2054, 2020 | 12 | 2020 |
| Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas J Cluceru, SJ Nelson, Q Wen, JJ Phillips, A Shai, AM Molinaro, ... Neuro-oncology 22 (10), 1516-1526, 2020 | 8 | 2020 |
| Improving the automatic classification of brain mri acquisition contrast with machine learning J Cluceru, JM Lupo, Y Interian, R Bove, JC Crane Journal of Digital Imaging 36 (1), 289-305, 2023 | 4 | 2023 |
| Deep learning to predict future region of growth of geographic atrophy from fundus autofluorescence images N Anegondi, A Salvi, J Cluceru, Q Yang, D Ferrara, C Rabe, SS Gao Investigative Ophthalmology & Visual Science 64 (8), 1117-1117, 2023 | 2 | 2023 |
| Feature discovery using ablation studies for deep learning–based geographic atrophy (GA) progression prediction J Cluceru, N Anegondi, Q Yang, V Steffen, C Rabe, M Friesenhahn, ... Investigative Ophthalmology & Visual Science 63 (7), 3859-3859, 2022 | 1 | 2022 |
| Tissue-level probabilistic mapping of treatment-induced effects in recurrent glioblastoma J Ellison, N Tran, J Cluceru, J Phillips, A Shai, D Nair, A Molinaro, ... ISMRM, 2022 | 1 | 2022 |
| Toward improving the diagnosis of glioma J Cluceru University of California, San Francisco, 2021 | 1 | 2021 |
| Machine learning to predict GA growth rate via clinical and derived autofluorescence imaging features J Cluceru, O Slama, N Anegondi, SS Gao, D Ferrara, M Friesenhahn, ... Investigative Ophthalmology & Visual Science 65 (7), 2378-2378, 2024 | | 2024 |
| Generalizability of foundation models for geographic atrophy (GA) lesion segmentation in fundus autofluorescence (FAF) E Gros, M McLeod, Y Kikuchi, J Cluceru, N Anegondi, SS Gao, C Rabe, ... Investigative Ophthalmology & Visual Science 65 (7), 2391-2391, 2024 | | 2024 |
| Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting J Ellison, F Caliva, P Damasceno, TL Luks, M LaFontaine, J Cluceru, ... Bioengineering 11 (5), 497, 2024 | | 2024 |
| Geographic atrophy progression prediction and differential gradient activation maps NS Anegondi, SS Gao, JG Cluceru US Patent App. 18/513,106, 2024 | | 2024 |
| Predicting geographic atrophy growth rate with clinical and derived imaging features J Cluceru, O Slama, N Anegondi, SS Gao, D Ferrara, M Friesenhahn, ... Investigative Ophthalmology & Visual Science 64 (8), 1118-1118, 2023 | | 2023 |
| Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence Q Yang, N Anegondi, V Steffen, SS Gao, J Cluceru, C Rabe, J Dai, ... International Workshop on Applications of Medical AI, 29-38, 2022 | | 2022 |
| Automatic stratification of gliomas into WHO 2016 molecular subtypes using diffusion-weighted imaging and a pre-trained deep neural network J Cluceru, Y Interian, JJ Phillips, D Nair, P Alcaide-Leon, SM Chang, ... | | 2021 |
| NIMG-36. AUTOMATIC STRATIFICATION OF ENHANCING AND NON-ENHANCING GLIOMAS INTO GENETIC SUBTYPES USING DEEP NEURAL NETWORKS AND DIFFUSION-WEIGHTED IMAGING J Cluceru, P Alcaide-Leon, Y Interian, V Pedoia, J Phillips, D Nair, T Luks, ... Neuro-Oncology 22 (Supplement_2), ii155-ii155, 2020 | | 2020 |
