E-LIB Suche - Ergebnisse für: Fernandez-Granda, Carlos

1

Quantifying impairment and disease severity using AI models..:

Yu, Boyang ; Kaku, Aakash ; Liu, Kangning...
npj Digital Medicine. 7 (2024) 1 - p. , 2024

2

The Impact of Artificial Intelligence on In Situ Electron M..:

Crozier, Peter A ; Morales, Adrià Marcos ; Leibovich, Matan...
Microscopy and Microanalysis. 29 (2023) Supplement_1 - p. 1595-1596 , 2023

Link: https://doi.org/10.1093/..

3

In situ Study of Surface Oxygen Exchange and Transport on C..:

Tan, Mai ; Leibovich, Matan ; Fernandez-Granda, Carlos.
Microscopy and Microanalysis. 29 (2023) Supplement_1 - p. 1294-1295 , 2023

Link: https://doi.org/10.1093/..

4

Data-Driven Quantitation of Movement Abnormality after Stro..:

Parnandi, Avinash ; Kaku, Aakash ; Venkatesan, Anita...
Bioengineering. 10 (2023) 6 - p. 648 , 2023

Link: https://doi.org/10.3390/..

5

Multiple Instance Learning via Iterative Self-Paced Supervi..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Liu, Kangning ; Zhu, Weicheng ; Shen, Yiqiu... - p. 3355-3365 , 2023

Link: https://doi.org/10.1109/..

6

Dictionary learning for integrative, multimodal and scalabl..:

Hao, Yuhan ; Stuart, Tim ; Kowalski, Madeline H....
Nature Biotechnology. 42 (2023) 2 - p. 293-304 , 2023

Link: https://doi.org/10.1038/..

7

Author Correction: Generalizable deep learning model for ea..:

Liu, Sheng ; Masurkar, Arjun V. ; Rusinek, Henry...
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

8

Extracting High Spatio-Temporal Information Using Machine L..:

Haluai, Piyush ; Morales, Adrià Marcos ; Leibovich, Matan...
Microscopy and Microanalysis. 29 (2023) Supplement_1 - p. 1930-1931 , 2023

Link: https://doi.org/10.1093/..

9

Adaptive Early-Learning Correction for Segmentation from No..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Liu, Sheng ; Liu, Kangning ; Zhu, Weicheng.. - p. 2596-2606 , 2022

Link: https://doi.org/10.1109/..

10

Application of Deep Unsupervised Convolutional Neural Netwo..:

Morales, Adrià Marcos ; Gilankar, Advait ; Manzorro, Ramon...
Microscopy and Microanalysis. 28 (2022) S1 - p. 3118-3119 , 2022

Link: https://doi.org/10.1017/..

11

Adaptive Test Allocation for Outbreak Detection and Trackin..:

Batlle, Pau ; Bruna, Joan ; Fernandez-Granda, Carlos.
SIAM Journal on Control and Optimization. 60 (2022) 2 - p. S274-S293 , 2022

Link: https://doi.org/10.1137/..

12

PrimSeq: A deep learning-based pipeline to quantitate rehab..:

Parnandi, Avinash ; Kaku, Aakash ; Venkatesan, Anita...
PLOS Digital Health. 1 (2022) 6 - p. e0000044 , 2022

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

13

Generalizable deep learning model for early Alzheimer's dis..:

Liu, Sheng ; Masurkar, Arjun V. ; Rusinek, Henry...
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

14

Deep Denoising for Scientific Discovery: A Case Study in El..:

Mohan, Sreyas ; Manzorro, Ramon ; Vincent, Joshua L....
IEEE Transactions on Computational Imaging. 8 (2022) - p. 585-597 , 2022

Link: https://doi.org/10.1109/..

15

Detecting and Characterizing the Fluxionality in Pt Nanopar..:

Gilankar, Advait ; Miller, Benjamin K ; Morales, Adrià Marcos...
Microscopy and Microanalysis. 28 (2022) S1 - p. 166-168 , 2022

Link: https://doi.org/10.1017/..