E-LIB Suche - Ergebnisse für: Praljak, Niksa

1

ProtWave-VAE: Integrating Autoregressive Sampling with Late..:

Praljak, Nikša ; Lian, Xinran ; Ranganathan, Rama.
ACS Synthetic Biology. 12 (2023) 12 - p. 3544-3561 , 2023

Link: https://doi.org/10.1021/..

2

Deep-learning generative models enable design of synthetic ..:

Lian, Xinran ; Praljak, Niksa ; Ferguson, Andrew L..
Biophysical Journal. 122 (2023) 3 - p. 311a , 2023

Link: https://doi.org/10.1016/..

3

Integrating deep learning with microfluidics for biophysica..:

Praljak, Niksa ; Iram, Shamreen ; Goreke, Utku...
PLOS Computational Biology. 17 (2021) 11 - p. e1008946 , 2021

Link: https://doi.org/10.1371/..

4

Integrating Deep Learning with Microfluidics for Biophysica..:

Praljak, Niksa ; Iram, Shamreen ; Goreke, Utku...
https://commons.case.edu/facultyworks/21. , 2021

Link: https://commons.case.edu..

5

Pulsatile Flow Through Idealized Renal Tubules: Fluid-struc..:

Praljak, Niksa ; Ryan, Shawn D ; Resnick, Andrew
https://engagedscholarship.csuohio.edu/scimath_facpub/339. , 2020

Link: https://engagedscholarsh..

6

ProtWave-VAE: Integrating Autoregressive Sampling with Late..:

Nikša Praljak ; Xinran Lian ; Rama Ranganathan.
doi:10.1021/acssynbio.3c00261.s001. , 2023

Link: https://doi.org/10.1021/..

7

Integrating deep learning with microfluidics for biophysica..:

Niksa Praljak ; Shamreen Iram ; Utku Goreke...
https://doi.org/10.1371/journal.pcbi.1008946. , 2021

Link: https://doi.org/10.1371/..

8

Pulsatile flow through idealized renal tubules: Fluid-struc..:

Niksa Praljak ; Shawn D. Ryan ; Andrew Resnick
https://www.aimspress.com/article/doi/10.3934/mbe.2020094?viewType=HTML. , 2020

Link: https://doi.org/10.3934/..

9

Manual vs machine learning (ML) performance:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Manual_vs_machine_learning_ML_performance_/17095448. , 2021

Link: https://doi.org/10.1371/..

10

Details of data sets used for training / validating the neu..:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/dataset/Details_of_data_sets_used_for_training_validating_the_neural_networks_in_the_two_phases_of_our_workflow_/17095451. , 2021

Link: https://doi.org/10.1371/..

11

Phase I network performance metrics:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Phase_I_network_performance_metrics_/17095439. , 2021

Link: https://doi.org/10.1371/..

12

Cell deformability analysis:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Cell_deformability_analysis_/17095436. , 2021

Link: https://doi.org/10.1371/..

13

Object categories in our images:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Object_categories_in_our_images_/17095427. , 2021

Link: https://doi.org/10.1371/..

14

Interpreting the fine-tuned ResNet-50 model:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Interpreting_the_fine-tuned_ResNet-50_model_/17095445. , 2021

Link: https://doi.org/10.1371/..

15

Overview of processing pipeline:

Niksa Praljak (11768009) ; Shamreen Iram (11768012) ; Utku Goreke (11768015)...
https://figshare.com/articles/figure/Overview_of_processing_pipeline_/17095430. , 2021

Link: https://doi.org/10.1371/..