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Claim this profileWorks31 from public data
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- PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report161
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones and proposes solutions that significantly improved baseline results defining the state-of-the-art for image enhancement on smartphones.
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- An atlas for human brain myelin content throughout the adult life span82
This work coupled high-resolution data from 100 adults with gold-standard methodology to create an optimized anatomical brain template and accompanying MWF and IET2 atlases, and used the MWF atlas to characterize how myelin content relates to demographic factors.
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- Eccentric rehabilitation induces white matter plasticity and sensorimotor recovery in chronic spinal cord injury29
These data reveal an exciting role for eccentric training in white matter plasticity and sensorimotor recovery after SCI, and indicate that eccentric-focused, downhill rehabilitation promotes white matter plasticity and improved function in chronic SCI.
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- Multi–scale Recursive and Perception–Distortion Controllable Image Super–Resolution23
A discriminator for adversarial training with the following novel properties is proposed: it is multi–scale that resembles a progressive–GAN; it is recursive that balances the architecture of the generator; and it includes a new layer to capture significant statistics of natural images.
- Multigrid Backprojection Super–Resolution and Deep Filter Visualization22
A novel deep–learning architecture for image upscaling by large factors based on examples of pristine high–resolution images and shows how the network can be interpreted as a standard upsampling–and–filter upscaler with a space–variant filter that adapts to the geometry.
- Deep Networks for Image-to-Image Translation with Mux and Demux Layers19
A lightweight end–to–end deep learning approach for image enhancement that could improve both the quantitative and qualitative assessments, as well as the performance, and gets the third place in PIRM Enhancement–On–Smartphones Challenge 2018.
- AI for Biomedicine in the Era of Large Language Models14
This survey will explore the application of large language models to three crucial categories of biomedical data: textual data, biological sequences, and 3) brain signals, and delve into large language model challenges in biomedical research, including ensuring trustworthiness, achieving personalization, and adapting to multi-modal data representation.
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- MSGM: a multi-scale spatiotemporal graph Mamba for EEG emotion recognition9
The Multi-Scale Spatiotemporal Graph Mamba employs multi-window temporal segmentation to extract relative power spectral density (rPSD) features, mimicking the brain's multi-scale processing to capture both transient emotional fluctuations and sustained mood.
- A Tour of Convolutional Networks Guided by Linear Interpreters8
A hooking layer is introduced, called a LinearScope, which allows to run the network and the linear interpreter in parallel in parallel, and a tour to some popular architectures used for classification, super-resolution (SR) and image-to-image translation (I2I).
- MGBPv2: Scaling Up Multi-Grid Back-Projection Networks8
The second generation of MultiGrid BackProjection networks (MGBPv2) is introduced whose major modifications make the system scalable and more general than its predecessor, and which can balance between high quality and high performance.
- Terahertz Spectroscopy and Density Functional Theory for Non-Destructive Analysis of Anticoagulant Warfarin5
A rapid, non-destructive pharmaceutical analysis approach by introducing terahertz spectroscopy for the dual-parametric detection of the anticoagulant warfarin, meeting the requirements for the rapid screening of active pharmaceutical ingredients.
- Back–Projection Pipeline5
This work proposes a novel solution to make back-projections run in multiple resolutions by using a data pipeline workflow and is represented by a system of ODEs, as opposed to a single ODE in the case of ResNets.
- Corra: Correlation-Aware Column Compression3
This work depart from the established path of compressing data using only single-column encoding schemes and introduces several correlation-aware encoding schemes, which save up to 58.3% of the compressed size over single-column schemes for TPC-H's $\texttt{lineitem}$', LDBC's $\texttt{message}$, DMV, and Taxi datasets.
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- Eccentric-focused rehabilitation promotes myelin plasticity in individuals with chronic, incomplete spinal cord injury1
Downhill training increased myelin water fraction in brain regions specifically associated with motor learning and in the ventral spinal cord in individuals with chronic, incomplete spinal cord injury.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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