Rushin Gindra
@rushin_gindra
PhD candidate @SaurLab at TranslaTUM and @helmholtz_ai, developing deep learning methods for Spatial Transcriptomics
ID: 816643046041231360
04-01-2017 13:50:49
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155 Followers
195 Following
Excited to share our latest work: Combining #graphs and #transformers for robust weakly #supervised learning for whole slide image analysis. Published IEEE-TMI (doi.org/10.1109/TMI.20β¦) with YZ, Kolachalama laboratory, Jennifer Beane BU CompBioMed, Boston U Chobanian & Avedisian School of Medicine, BU AIR, Hariri Institute for Computing, Boston University
Another glorious preprint from the Johns Hopkins Kimmel Cancer Center Convergence team (Dr. Luciane T Kagohara π§π·π§¬π©π»βπ¬π©π»βπ» et al): Spatial transcriptomics of FFPE pancreatic intraepithelial neoplasias reveals cellular and molecular alterations of progression to #PancreaticCancer biorxiv.org/content/10.110β¦
As PhD application deadlines approach, we are super excited to announce cs-sop.org, created by Zhaofeng Wu Alexis Ross @ZejiangSπ» cs-sop.org is a platform with statements of purpose generously shared by previous applicants to CS PhD programs π§΅(1/n)
Glad to see our review on best practices for single-cell analysis across modalities out Nature Reviews Genetics! In a big team effort led by Lukas Heumos & Anna Schaar, we recommend workflows based on benchmarks. Paper at rdcu.be/c8RU5 & extension at sc-best-practices.org.