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Alice M. Lucas
Alice M. Lucas
Broad Institute of MIT and Harvard
Verified email at broadinstitute.org
Title
Cited by
Cited by
Year
Using deep neural networks for inverse problems in imaging: beyond analytical methods
A Lucas, M Iliadis, R Molina, AK Katsaggelos
IEEE Signal Processing Magazine 35 (1), 20-36, 2018
4322018
CellProfiler 4: improvements in speed, utility and usability
DR Stirling, MJ Swain-Bowden, AM Lucas, AE Carpenter, BA Cimini, ...
BMC bioinformatics 22, 1-11, 2021
1442021
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
International Conference on Image Processing, 2018
1402018
Open-source deep-learning software for bioimage segmentation
AM Lucas, PV Ryder, B Li, BA Cimini, KW Eliceiri, AE Carpenter
Molecular Biology of the Cell 32 (9), 823-829, 2021
332021
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models
S López-Tapia, A Lucas, R Molina, AK Katsaggelos
Digital Signal Processing 104, 102801, 2020
162020
Neural networks for modeling neural spiking in S1 cortex
A Lucas, T Tomlinson, N Rohani, R Chowdhury, SA Solla, ...
Frontiers in systems neuroscience 13, 13, 2019
82019
Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
arXiv preprint arXiv:1912.12879, 2019
32019
Efficient Fine-tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems
A Lucas, S Lopez-Tapia, R Molina, K Aggelos K
IEEE 2019 International Conference on Image Processing (ICIP), 2019
32019
Semantic Prior Based Generative Adversarial Network for Video Super-Resolution
X Wu, A Lucas, S Lopez-Tapia, X Wang, YH Kim, R Molina, ...
27th European Signal Processing Conference (EUSIPCO), 2019
32019
Spatially Adaptive Losses for Video Super-resolution with GANs
X Wang, A Lucas, S Lopez-Tapia, X Wu, R Molina, AK Katsaggelos
IEEE 2019 International Conference on Acoustics, Speech, and Signal …, 2019
32019
Gated recurrent networks for video super resolution
S López-Tapia, A Lucas, R Molina, AK Katsaggelos
2020 28th European Signal Processing Conference (EUSIPCO), 700-704, 2021
22021
GAN-Based Video Super-Resolution with Direct Regularized Inversion of the Low-Resolution Formation Model
S Lopez-Tapia, A Lucas, R Molina, K Aggelos K
IEEE 2019 International Conference on Image Processing (ICIP), 2019
22019
Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model
S Lopez-Tapia, A Lucas, R Molina, K Aggelos K
27th European Signal Processing Conference (EUSIPCO), 2019
22019
Using deep neural networks for inverse problems in imaging
A Lucas, M Iliadis, R Molina, A Katsaggelos
Signal Processing Magazine,(accepted for publication), 0
1
PyImageJ: A library for integrating ImageJ and Python
CT Rueden, MC Hiner, EL Evans III, MA Pinkert, AM Lucas, AE Carpenter, ...
Nature Methods 19 (11), 1326-1327, 2022
2022
Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution
A Lucas
Northwestern University, 2020
2020
Self-supervised fine-tuning for image enhancement of super-resolution deep neural networks
A Lucas, S Lopez-Tapia, R Molina, AK Katsaggelos
Free radical biology & medicine., 2019
2019
Earthquake Detective: Engaging Citizens in the Detection of Dynamically Triggered Seismic Events
V Tang, JC Thompson, B Rösler, J Nelson, S Van der Lee, K Chao, ...
AGU Fall Meeting Abstracts 2019, S53E-0495, 2019
2019
A Composite Discriminator for GAN based Video Super Resolution
X Wang, A Lucas, S Lopez-Tapia, X Wu, R Molina, A Katsaggelos
27th European Signal Processing Conference (EUSIPCO), 2019
2019
Earthquake Detective: Engaging Citizens in the Detection of Dynamically Triggered Seismic Events
S van der Lee, V Tang, B Roesler, J Nelson, JC Thompson, A Lucas, ...
AGU Fall Meeting Abstracts 2018, ED51C-0680, 2018
2018
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Articles 1–20