Rittscher J - Search Results

1

Visualization of T Cell Migration in the Spleen Reveals a Network of Perivascular Pathways that Guide Entry into T Zones.

Chauveau A, Pirgova G, Cheng HW, De Martin A, Zhou FY, Wideman S, Rittscher J, Ludewig B, Arnon TI. Chauveau A, et al. Among authors: rittscher j. Immunity. 2020 May 19;52(5):794-807.e7. doi: 10.1016/j.immuni.2020.03.010. Epub 2020 Apr 15. Immunity. 2020. PMID: 32298648 Free PMC article.

2

Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes.

Zhou FY, Ruiz-Puig C, Owen RP, White MJ, Rittscher J, Lu X. Zhou FY, et al. Among authors: rittscher j. Elife. 2019 Feb 26;8:e40162. doi: 10.7554/eLife.40162. Elife. 2019. PMID: 30803483 Free PMC article.

3

Characterization of Biological Motion Using Motion Sensing Superpixels.

Zhou FY, Ruiz-Puig C, Owen RP, White MJ, Rittscher J, Lu X. Zhou FY, et al. Among authors: rittscher j. Bio Protoc. 2019 Sep 20;9(18):e3365. doi: 10.21769/BioProtoc.3365. eCollection 2019 Sep 20. Bio Protoc. 2019. PMID: 33654862 Free PMC article.

4

A deep learning framework for quality assessment and restoration in video endoscopy.

Ali S, Zhou F, Bailey A, Braden B, East JE, Lu X, Rittscher J. Ali S, et al. Among authors: rittscher j. Med Image Anal. 2021 Feb;68:101900. doi: 10.1016/j.media.2020.101900. Epub 2020 Nov 13. Med Image Anal. 2021. PMID: 33246229 Free article.

5

Correction: Motion sensing superpixels (MOSES) is a systematic computational framework to quantify and discover cellular motion phenotypes.

Zhou FY, Ruiz-Puig C, Owen RP, White MJ, Rittscher J, Lu X. Zhou FY, et al. Among authors: rittscher j. Elife. 2019 Jul 2;8:e49823. doi: 10.7554/eLife.49823. Elife. 2019. PMID: 31262400 Free PMC article.

6

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

Ali S, Zhou F, Braden B, Bailey A, Yang S, Cheng G, Zhang P, Li X, Kayser M, Soberanis-Mukul RD, Albarqouni S, Wang X, Wang C, Watanabe S, Oksuz I, Ning Q, Yang S, Khan MA, Gao XW, Realdon S, Loshchenov M, Schnabel JA, East JE, Wagnieres G, Loschenov VB, Grisan E, Daul C, Blondel W, Rittscher J. Ali S, et al. Among authors: rittscher j. Sci Rep. 2020 Feb 17;10(1):2748. doi: 10.1038/s41598-020-59413-5. Sci Rep. 2020. PMID: 32066744 Free PMC article.

7

KCML: a machine-learning framework for inference of multi-scale gene functions from genetic perturbation screens.

Sailem HZ, Rittscher J, Pelkmans L. Sailem HZ, et al. Among authors: rittscher j. Mol Syst Biol. 2020 Mar;16(3):e9083. doi: 10.15252/msb.20199083. Mol Syst Biol. 2020. PMID: 32141232 Free PMC article.

8

Analysis of live cell images: Methods, tools and opportunities.

Nketia TA, Sailem H, Rohde G, Machiraju R, Rittscher J. Nketia TA, et al. Among authors: rittscher j. Methods. 2017 Feb 15;115:65-79. doi: 10.1016/j.ymeth.2017.02.007. Epub 2017 Feb 27. Methods. 2017. PMID: 28242295 Review.

9

DeepScratch: Single-cell based topological metrics of scratch wound assays.

Javer A, Rittscher J, Sailem HZ. Javer A, et al. Among authors: rittscher j. Comput Struct Biotechnol J. 2020 Aug 29;18:2501-2509. doi: 10.1016/j.csbj.2020.08.018. eCollection 2020. Comput Struct Biotechnol J. 2020. PMID: 33005312 Free PMC article.

10

Transcriptome and genome evolution during HER2-amplified breast neoplasia.

Lu P, Foley J, Zhu C, McNamara K, Sirinukunwattana K, Vennam S, Varma S, Fehri H, Srivastava A, Zhu S, Rittscher J, Mallick P, Curtis C, West R. Lu P, et al. Among authors: rittscher j. Breast Cancer Res. 2021 Jul 15;23(1):73. doi: 10.1186/s13058-021-01451-6. Breast Cancer Res. 2021. PMID: 34266469 Free PMC article.

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