E-LIB Suche - Ergebnisse für: McCarthy, Davis J.

1

Learning Support and Trivial Prototypes for Interpretable I..:

Wang, Chong ; Liu, Yuyuan ; Chen, Yuanhong...
http://arxiv.org/abs/2301.04011. , 2023

Link: http://arxiv.org/abs/230..

2

BRAIxDet: Learning to Detect Malignant Breast Lesion with I..:

Chen, Yuanhong ; Liu, Yuyuan ; Wang, Chong...
http://arxiv.org/abs/2301.13418. , 2023

Link: http://arxiv.org/abs/230..

3

Technical outlier detection via convolutional variational a..:

Li, Hui ; Solorzano, Carlos A. Pena ; Wei, Susan.
http://arxiv.org/abs/2305.12068. , 2023

Link: http://arxiv.org/abs/230..

4

ADMANI:Annotated digital mammograms and associated non-imag..:

Frazer, Helen M.L ; Tang, Jennifer S.N ; Elliott, Michael S...
Frazer , H M L , Tang , J S N , Elliott , M S , Kunicki , K M , Hill , B , Karthik , R , Kwok , C F , Peña-Solorzano , C A , Chen , Y , Wang , C , Al-Qershi , O , Fox , S K , Li , S , Makalic , E , Nguyen , T L , Schmidt , D F , Ralalage , P B , Lippey , J F , Brotchie , P , Hopper , J L , Carneiro , G & McCarthy , D J 2022 , ' ADMANI : Annotated digital mammograms and associated non-image datasets ' , Radiology: Artificial Intelligence , vol. 5 , no. 2 , e220072 . https://doi.org/10.1148/ryai.220072. , 2022

Link: https://research.monash...

5

Multi-view Local Co-occurrence and Global Consistency Learn..:

Chen, Yuanhong ; Wang, Hu ; Wang, Chong...
http://arxiv.org/abs/2209.10478. , 2022

Link: http://arxiv.org/abs/220..

6

A comparison of marker gene selection methods for single-ce..:

Pullin, Jeffrey ; McCarthy, Davis
doi:10.5281/zenodo.6513334. , 2022

Link: https://zenodo.org/recor..

7

Knowledge Distillation to Ensemble Global and Interpretable..:

Wang, Chong ; Chen, Yuanhong ; Liu, Yuyuan...
http://arxiv.org/abs/2209.12420. , 2022

Link: http://arxiv.org/abs/220..

8

Eleven grand challenges in single-cell data science:

Lähnemann, David ; Köster, Johannes ; Szczurek, Ewa...
https://www.repository.cam.ac.uk/handle/1810/317274. , 2021

Link: https://www.repository.c..

9

Publisher Correction: Single-cell RNA-sequencing of differe..:

Cuomo, Anna SE ; Seaton, Daniel D ; McCarthy, Davis J...
doi:10.17863/CAM.66218. , 2021

Link: https://doi.org/10.17863..

10

splatPop: simulating population scale single-cell RNA seque..:

Azodi, Christina B ; Zappia, Luke ; Oshlack, Alicia.
https://mediatum.ub.tum.de/1647387. , 2021

Link: https://mediatum.ub.tum...

11

Single-cell RNA-sequencing of differentiating iPS cells rev..:

Cuomo, Anna S. E ; Seaton, Daniel D ; McCarthy, Davis J...
doi:10.17863/CAM.64519. , 2021

Link: https://doi.org/10.17863..

12

Vireo: Bayesian demultiplexing of pooled single-cell RNA-se..:

Huang, Yuanhua ; McCarthy, Davis J ; Stegle, Oliver
https://www.repository.cam.ac.uk/handle/1810/315043. , 2020

Link: https://www.repository.c..

13

Eleven grand challenges in single-cell data science:

Lähnemann, David ; Köster, Johannes ; Szczurek, Ewa...
Genome Biol. 2020 Feb 7;21(1):31. doi:10.1186/s13059-020-1926-6.. , 2020

Link: http://hdl.handle.net/10..

14

Eleven grand challenges in single-cell data science:

Laehnemann, David ; Koester, Johannes ; Szczurek, Ewa...
https://research.tilburguniversity.edu/en/publications/dde048fb-aba6-49af-864e-212cc2bb9218. , 2020

Link: https://research.tilburg..

15

Eleven grand challenges in single-cell data science:

Lähnemann, David ; Köster, Johannes ; Szczurek, Ewa...
https://research.rug.nl/en/publications/552a78e7-d1e9-42a4-a00e-1f6ca220a32d. , 2020

Link: https://hdl.handle.net/1..