Cross‐Modality Image Translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla Using Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2025 at "Human Brain Mapping"
DOI: 10.1002/hbm.70246
Abstract: The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross‐modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated… read more here.
Keywords: using generative; resonance imaging; magnetic resonance; cross modality ... See more keywords
Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemical Information and Modeling"
DOI: 10.1021/acs.jcim.3c01777
Abstract: In the early stages of drug development, large chemical libraries are typically screened to identify compounds of promising potency against the chosen targets. Often, however, the resulting hit compounds tend to have poor drug metabolism… read more here.
Keywords: inert compounds; using generative; initially inert; potency ... See more keywords
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.
Sign Up to like & getrecommendations! Published in 2025 at "Psychological methods"
DOI: 10.1037/met0000674
Abstract: Theories of individual differences are foundational to psychological and brain sciences, yet they are traditionally developed and tested using superficial summaries of data (e.g., mean response times) that are disconnected from our otherwise rich conceptual… read more here.
Keywords: using generative; reliability paradox; generative models; reliability ... See more keywords
Prediction of a typhoon track using a generative adversarial network and satellite images
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42339-y
Abstract: Tracks of typhoons are predicted using a generative adversarial network (GAN) with satellite images as inputs. Time series of satellite images of typhoons which occurred in the Korea Peninsula in the past are used to… read more here.
Keywords: generative adversarial; typhoon; network; satellite images ... See more keywords
Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN’s Learned Features
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3236575
Abstract: Convolutional neural networks (CNNs) are increasingly being explored and used for a variety of classification tasks in medical imaging, but current methods for post hoc explainability are limited. Most commonly used methods highlight portions of… read more here.
Keywords: networks figan; adversarial networks; using generative; generative adversarial ... See more keywords
Automated Business Decision-Making Using Generative AI in Online A/B Testing: Comparative Analysis With Human Decision-Making
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3588480
Abstract: Online A/B testing is widely used as an experimental methodology for product improvement and business optimization. However, interpreting experimental results often involves subjective judgment and biases from experiment designers, which can undermine the reliability and… read more here.
Keywords: using generative; experiment designers; making using; decision making ... See more keywords
Spatiotemporal Reflectance Fusion Using a Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3065418
Abstract: The spatiotemporal reflectance fusion method is used to blend high-temporal and low-spatial resolution images with their low-temporal and high-spatial resolution counterparts that were previously acquired by various satellite sensors. Recently, a wide variety of learning-based… read more here.
Keywords: network; using generative; reflectance; spatiotemporal reflectance ... See more keywords
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2025.3526582
Abstract: Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be… read more here.
Keywords: using generative; performance data; performance; data augmentation ... See more keywords
Using generative artificial intelligence/ChatGPT for academic communication: Students' perspectives
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Applied Linguistics"
DOI: 10.1111/ijal.12574
Abstract: Generative artificial intelligence (GenAI) tools such as ChatGPT with their human‐like intelligence and language processing capabilities are significantly impacting the way we live, work, and communicate with each other. While scholars have increasingly focused on… read more here.
Keywords: using generative; artificial intelligence; generative artificial; academic communication ... See more keywords
Using Generative AI in Finance, and the Lack of Emergent Behavior in LLMs
Sign Up to like & getrecommendations! Published in 2024 at "Communications of the ACM"
DOI: 10.1145/3674118
Abstract: In each issue of Communications, we publish selected posts or excerpts from the many blogs on our website. The views expressed by bloggers are their own and not necessarily held by Communications or the Association… read more here.
Keywords: using generative; lack emergent; finance lack; finance ... See more keywords
Mapping Path Forward for Using the Generative AI for Comprehension of Prognostic Genesets Implicated in Hematologic Malignancies
Sign Up to like & getrecommendations! Published in 2024 at "Blood"
DOI: 10.1182/blood-2024-211865
Abstract: Recent advancements in generative AI, including models such as GPT-4 and LLAMA2, have been rapidly integrated into cancer research. It is not clear to which extent the AI assisted outputs can be trusted and used… read more here.
Keywords: path forward; using generative; comprehension prognostic; forward using ... See more keywords