B-EPIC: A Transformer-Based Language Model for Decoding B Cell Immunodominance Patterns.
Sign Up to like & getrecommendations! Published in 2025 at "Advanced science"
DOI: 10.1002/advs.202508896
Abstract: Vaccine development for pathogens has faced significant challenges, contributing to a public health burden. B‐cell epitope (BCE) prediction is a crucial process in vaccine development, but is hindered by limited efficiency and accuracy. To address… read more here.
Keywords: epic transformer; epic; transformer based; language ... See more keywords
Improved Brain Tumor Segmentation With SegFormer: A Transformer‐Based Architecture for Cross‐Dataset Generalization
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70257
Abstract: This research work aims to improve brain tumor segmentation using a transformer architecture known as SegFormer. It is essential to segment brain tumors correctly for surgical planning and tumor progression assessment. Many existing segmentation techniques… read more here.
Keywords: tumor segmentation; brain; segmentation; transformer based ... See more keywords
Vision transformer-based recognition of diabetic retinopathy grade.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15312
Abstract: BACKGROUND In the domain of natural language processing, Transformers are recognized as state-of-the-art models, which opposing to typical convolutional neural networks (CNNs), do not rely on convolution layers. Instead, Transformers employ multi-head attention mechanisms as… read more here.
Keywords: recognition; retinopathy grade; diabetic retinopathy; transformer based ... See more keywords
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.70082
Abstract: Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and… read more here.
Keywords: error compensation; navigation; error; transformer based ... See more keywords
Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy
Sign Up to like & getrecommendations! Published in 2024 at "European Journal of Nuclear Medicine and Molecular Imaging"
DOI: 10.1007/s00259-024-06618-9
Abstract: Accurate dosimetry is critical for ensuring the safety and efficacy of radiopharmaceutical therapies. In current clinical dosimetry practice, MIRD formalisms are widely employed. However, with the rapid advancement of deep learning (DL) algorithms, there has… read more here.
Keywords: therapy; 177lu dotatate; transformer based; dose maps ... See more keywords
Cascaded transformer-based networks for wikipedia large-scale image-caption matching
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-023-17977-0
Abstract: With the increasing importance of multimedia and multilingual data in online encyclopedias, novel methods are needed to fill domain gaps and automatically connect different modalities for increased accessibility. For example, Wikipedia is composed of millions… read more here.
Keywords: cascaded transformer; caption; image; caption matching ... See more keywords
Deblending overlapping galaxies in DECaLS using transformer-based algorithm: A method combining multiple bands and data types
Sign Up to like & getrecommendations! Published in 2024 at "Publications of the Astronomical Society of Australia"
DOI: 10.1017/pasa.2024.16
Abstract: Abstract In large-scale galaxy surveys, particularly deep ground-based photometric studies, galaxy blending was inevitable. Such blending posed a potential primary systematic uncertainty for upcoming surveys. Current deblenders predominantly depended on analytical modelling of galaxy profiles,… read more here.
Keywords: method; decals database; overlapping galaxies; transformer based ... See more keywords
A transformer-based multi-task framework for joint detection of aggression and hate on social media data
Sign Up to like & getrecommendations! Published in 2023 at "Natural Language Engineering"
DOI: 10.1017/s1351324923000104
Abstract: Moderators often face a double challenge regarding reducing offensive and harmful content in social media. Despite the need to prevent the free circulation of such content, strict censorship on social media cannot be implemented due… read more here.
Keywords: social media; aggression hate; task; transformer based ... See more keywords
QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics.
Sign Up to like & getrecommendations! Published in 2025 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.4c04531
Abstract: In metabolomic analysis based on liquid chromatography coupled with mass spectrometry, detecting and quantifying intricate objects is a massive job. Current peak picking methods still cause high rates of incorrectly picked peaks to influence the… read more here.
Keywords: detection; quantification; transformer based; transformer ... See more keywords
F-Site: Recognizing Fluorination Patterns in Small-Molecule Drugs via a Two-Stage Transformer-Based Model.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.5c02327
Abstract: Fluorination is a powerful strategy for modulating drug properties. However, accurately identifying suitable fluorination sites and introducing appropriate fluorinated groups into organic molecules remain significant challenges, often relying on chemical intuition and iterative experimentation. To… read more here.
Keywords: fluorination; fluorination patterns; stage; transformer based ... See more keywords
A Generalized Transformer-Based Pulse Detection Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "ACS Sensors"
DOI: 10.1021/acssensors.2c01218
Abstract: Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., electrical or optical pulses caused by analyte translocations in nanopores. The primary challenge in processing pulse-like signals is to capture the pulses in… read more here.
Keywords: based pulse; pulse detection; generalized transformer; detection ... See more keywords