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

Integration of elemental imaging and spatial transcriptomic profiling for proof-of-concept metals-based pathway analysis of colon tumor microenvironment

整合元素成像和空间转录组分析技术,以验证基于金属的结肠肿瘤微环境通路分析的概念

Srivastava, Aruesha; Shaik, Neha; Lu, Yunrui; Chan, Matthew; Diallo, Alos; Zavras, John; Han, Serin; Punshon, Tracy; Jackson, Brian; Vahdat, Linda; Liu, Xiaoying; Mittal, Vivek; Lau, Ken; Gui, Jiang; Vaickus, Louis; Hoopes, Jack; Kolling, Fred; Perreard, Laurent; Marotti, Jonathan; Levy, Joshua

Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE

通过 TRACE 技术实现元素成像和组织病理学的集成配准,以增强组织切片的空间多模态分析。

Lu, Yunrui; Han, Serin; Srivastava, Aruesha; Shaik, Neha; Chan, Matthew; Diallo, Alos; Kumar, Naina; Paruchuri, Nishita; Deosthali, Hrishikesh; Ravikumar, Vismay; Cornell, Kevin; Stommel, Elijah; Punshon, Tracy; Jackson, Brian; Kolling, Fred 4th; Vahdat, Linda; Vaickus, Louis; Marotti, Jonathan; Ho, Sunita; Levy, Joshua

Association of Deep Learning-Derived Histologic Features of Placental Chorionic Villi with Maternal and Infant Characteristics in the New Hampshire Birth Cohort Study

新罕布什尔州出生队列研究中,基于深度学习的胎盘绒毛组织学特征与母婴特征的关联性研究

Anderson, Elizabeth C; Srinivasan, Gokul; Howe, Caitlin G; Zhang, Edward; Jeon, Catherine; Paruchuri, Gnan Suchir Gupta; Zhang, Leah; Hwang, Lindsay; Sengar, Aditya; Reddy, Neha; Karan, Anmol; Chen, Andrew; Shen, Julia; Owo, Onyinyechi; Caraballo-Bobea, ZoëFaith; Khatchikian, Camilo; Palys, Thomas J; Vaickus, Louis J; Madan, Juliete C; Karagas, Margaret R; Bentz, Jessica L; Levy, Joshua J

Histology-Based Virtual RNA Inference Identifies Pathways Associated with Metastasis Risk in Colorectal Cancer

基于组织学的虚拟RNA推断可识别与结直肠癌转移风险相关的通路

Srinivasan, Gokul; Le, Minh-Khang; Azher, Zarif; Liu, Xiaoying; Vaickus, Louis; Kaur, Harsimran; Kolling, Fred 4th; Palisoul, Scott; Perreard, Laurent; Lau, Ken S; Yao, Keluo; Levy, Joshua

Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site

利用深度学习和组织学肿瘤定位技术对基底细胞癌进行术中切缘评估

Levy, Joshua J; Davis, Matthew J; Chacko, Rachael S; Davis, Michael J; Fu, Lucy J; Goel, Tarushii; Pamal, Akash; Nafi, Irfan; Angirekula, Abhinav; Suvarna, Anish; Vempati, Ram; Christensen, Brock C; Hayden, Matthew S; Vaickus, Louis J; LeBoeuf, Matthew R

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology

对增强组织准备和成像方案的初步博弈论评估,以提高从组织形态进行空间转录组学的深度学习推断

Michael Y Fatemi, Yunrui Lu, Alos B Diallo, Gokul Srinivasan, Zarif L Azher, Brock C Christensen, Lucas A Salas, Gregory J Tsongalis, Scott M Palisoul, Laurent Perreard, Fred W Kolling 4th, Louis J Vaickus, Joshua J Levy

Correction: A2B Adenosine Receptor Expression by Myeloid Cells is Proinflammatory in Murine Allergic-Airway Inflammation

更正:髓系细胞表达A2B腺苷受体在小鼠过敏性气道炎症中具有促炎作用

Belikoff, Bryan G; Vaickus, Louis J; Sitkovsky, Michail; Remick, Daniel G

Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis

空间组学驱动的跨模态预训练应用于基于图的深度学习的癌症病理分析

Azher, Zarif L; Fatemi, Michael; Lu, Yunrui; Srinivasan, Gokul; Diallo, Alos B; Christensen, Brock C; Salas, Lucas A; Kolling, Fred W; Perreard, Laurent; Palisoul, Scott M; Vaickus, Louis J; Levy, Joshua J

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

通过常规染色进行空间转录组学虚拟推断,增强大规模皮肤光老化分子评估的潜力

Srinivasan, Gokul; Davis, Matthew J; LeBoeuf, Matthew R; Fatemi, Michael; Azher, Zarif L; Lu, Yunrui; Diallo, Alos B; Saldias Montivero, Marietta K; Kolling, Fred W; Perrard, Laurent; Salas, Lucas A; Christensen, Brock C; Palys, Thomas J; Karagas, Margaret R; Palisoul, Scott M; Tsongalis, Gregory J; Vaickus, Louis J; Preum, Sarah M; Levy, Joshua J

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication

评估用于癌症预后的可解释多模态深度学习中新兴的预训练策略

Azher, Zarif L; Suvarna, Anish; Chen, Ji-Qing; Zhang, Ze; Christensen, Brock C; Salas, Lucas A; Vaickus, Louis J; Levy, Joshua J