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

Aged murine bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes.

老年小鼠骨髓髓系细胞和间充质细胞会发展出独特的衰老表型。

Doolittle Madison L, Froemming Mitchell N, Rowsey Jennifer L, Ruan Ming, Sapra Leena, Farr Joshua N, Monroe David G, Khosla Sundeep

Bias in deep learning-based image quality assessments of T2-weighted imaging in prostate MRI

基于深度学习的前列腺MRI T2加权成像图像质量评估中的偏差

Nakai, Hirotsugu; Froemming, Adam T; Kawashima, Akira; LeGout, Jordan D; Kurata, Yasuhisa; Gloe, Jacob N; Borisch, Eric A; Riederer, Stephen J; Takahashi, Naoki

Characterization of Human Senescent Cell Biomarkers for Clinical Trials.

用于临床试验的人类衰老细胞生物标志物的表征

Farr Joshua N, Monroe David G, Atkinson Elizabeth J, Froemming Mitchell N, Ruan Ming, LeBrasseur Nathan K, Khosla Sundeep

Prostate MRI cancer detection rate by deep learning-assisted image quality categorization: gas-induced susceptibility artifacts in diffusion-weighted imaging

基于深度学习辅助图像质量分类的前列腺MRI癌症检出率:扩散加权成像中的气体诱导磁敏感伪影

Nakai, Hirotsugu; Froemming, Adam T; Takahashi, Hiroaki; Adamo, Daniel A; Kawashima, Akira; LeGout, Jordan D; Kurata, Yasuhisa; Gloe, Jacob N; Borisch, Eric A; Riederer, Stephen J; Takahashi, Naoki

Improved image quality and reduced acquisition time in prostate T2-weighted spin-echo MRI using a modified PI-RADS-adherent sequence

使用改进的符合PI-RADS标准的序列,可提高前列腺T2加权自旋回波MRI的图像质量并缩短采集时间。

Riederer, Stephen J; Borisch, Eric A; Froemming, Adam T; Grimm, Roger C; Hassanzadeh, Sara; Kawashima, Akira; Takahashi, Naoki; Thomas, John

Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning

利用深度学习进行轴位T2加权前列腺MRI质量评估:减少不必要重复扫描的工具

Gloe, Jacob N; Borisch, Eric A; Froemming, Adam T; Kawashima, Akira; LeGout, Jordan D; Nakai, Hirotsugu; Takahashi, Naoki; Riederer, Stephen J

Examination of Skeletal and Senescence Phenotypes in Young Mice with Juvenile Onset Type 1 Diabetes

对患有幼年型1型糖尿病的小鼠的骨骼和衰老表型进行检查

Kaur, Japneet; Brooks, Hannah W; Froemming, Mitchell N; Cusick, Nicholas C; Funk, Janet L; Farr, Joshua N

Application of high-density 2D receiver coil arrays for improved SNR in prostate MRI

高密度二维接收线圈阵列在提高前列腺磁共振成像信噪比中的应用

Riederer, Stephen J; Borisch, Eric A; Du, Qingshuo; Froemming, Adam T; Hulshizer, Thomas C; Kawashima, Akira; McGee, Kiaran P; Robb, Fraser; Rossman, Phillip J; Takahashi, Naoki

Hemispheric Asymmetry of Amyloid Deposition Influences Asymmetric Tau Pathology in Alzheimer’s Disease

淀粉样蛋白沉积的半球不对称性影响阿尔茨海默病中tau蛋白病理的不对称性

Nakai, Hirotsugu; Takahashi, Hiroaki; LeGout, Jordan D; Kawashima, Akira; Froemming, Adam T; Lomas, Derek J; Humphreys, Mitchell R; Dora, Chandler; Takahashi, Naoki; Anijärv, Toomas Erik; Smith, Ruben; Collij, Lyduine E; Behjat, Harry H; Binette, Alexa Pichet; Rittmo, Jonathan; Karlsson, Linda; Strandberg, Olof; van Westen, Danielle; Vogel, Jacob W; Stomrud, Erik; Palmqvist, Sebastian; Mattsson‐Carlgren, Niklas; Ossenkoppele, Rik; Spotorno, Nicola; Hansson, Oskar; Anijärv, Toomas Erik; Smith, Ruben; Collij, Lyduine E; Behjat, Harry H; Binette, Alexa Pichet; Rittmo, Jonathan; Karlsson, Linda; Strandberg, Olof; van Westen, Danielle; Vogel, Jacob W; Stomrud, Erik; Palmqvist, Sebastian; Mattsson‐Carlgren, Niklas; Ossenkoppele, Rik; Spotorno, Nicola; Hansson, Oskar

Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI

全自动深度学习模型用于在MRI图像上检测具有临床意义的前列腺癌

Cai, Jason C; Nakai, Hirotsugu; Kuanar, Shiba; Froemming, Adam T; Bolan, Candice W; Kawashima, Akira; Takahashi, Hiroaki; Mynderse, Lance A; Dora, Chandler D; Humphreys, Mitchell R; Korfiatis, Panagiotis; Rouzrokh, Pouria; Bratt, Alexander K; Conte, Gian Marco; Erickson, Bradley J; Takahashi, Naoki