日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Robust analysis of the tumor spectrum in a preclinical model of breast cancer reveals stable subtypes with distinct growth patterns

对乳腺癌临床前模型中肿瘤谱的稳健分析揭示了具有不同生长模式的稳定亚型。

Mohammed, Sahar A; Shabani, Siyavash; Sohaib, Muhammad; Nicolescu, Corina; Winkelmaier, Garrett; Chou, William; Ma, Lin; Chen, Jinsong; Barcellos-Hoff, Mary Helen; Parvin, Bahram

Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images

用于临床和显微图像三维分割的多孔径变换器(MAT3D)

Sohaib, Muhammad; Shabani, Siyavash; Mohammed, Sahar A; Winkelmaier, Garrett; Parvin, Bahram

Influence of Simulated Microgravity on Mammary Epithelial Cells Grown as 2D and 3D Cultures

模拟微重力对二维和三维培养的乳腺上皮细胞的影响

Winkelmaier, Garrett; Jabbari, Kosar; Chien, Lung-Chang; Grabham, Peter; Parvin, Bahram; Pluth, Janice

Biomarkers of Tumor Heterogeneity in Glioblastoma Multiforme Cohort of TCGA

TCGA多形性胶质母细胞瘤队列中肿瘤异质性的生物标志物

Winkelmaier, Garrett; Koch, Brandon; Bogardus, Skylar; Borowsky, Alexander D; Parvin, Bahram

CD36+ Fibroblasts Secrete Protein Ligands That Growth-Suppress Triple-Negative Breast Cancer Cells While Elevating Adipogenic Markers for a Model of Cancer-Associated Fibroblast

CD36+ 成纤维细胞分泌蛋白配体,抑制三阴性乳腺癌细胞生长,同时提高癌症相关成纤维细胞模型的脂肪生成标志物

Kosar Jabbari, Qingsu Cheng, Garrett Winkelmaier, Saori Furuta, Bahram Parvin

An enhanced loss function simplifies the deep learning model for characterizing the 3D organoid models

改进的损失函数简化了用于表征 3D 类器官模型的深度学习模型。

Winkelmaier, Garrett; Parvin, Bahram

Protein Ligands in the Secretome of CD36+ Fibroblasts Induce Growth Suppression in a Subset of Breast Cancer Cell Lines

CD36+ 成纤维细胞分泌组中的蛋白质配体诱导乳腺癌细胞系子集的生长抑制

Kosar Jabbari, Garrett Winkelmaier, Cody Andersen, Paul Yaswen, David Quilici, Saori Furuta, Qingsu Cheng, Bahram Parvin

Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines

乳腺成纤维细胞中 CD36 的过度表达可抑制乳腺癌细胞系中的菌落生长

Qingsu Cheng, Kosar Jabbari, Garrett Winkelmaier, Cody Andersen, Paul Yaswen, Mina Khoshdeli, Bahram Parvin

Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes

编码器-解码器深度网络的融合提高了多种核表型的区分度

Khoshdeli, Mina; Winkelmaier, Garrett; Parvin, Bahram