Neural-Networks

OCSU task for translating molecular images into multi-level descriptions. Introduces Vis-CheBI20 dataset and …

Novel Ring-Free Language representation and Molecular Skeleton Decoder architecture for improved optical chemical …

Deep learning OCSR model using keypoint estimation to detect atom and bond centers for graph-based molecular structure …

Deep learning framework using CNN-LSTM image captioning to convert hand-drawn hydrocarbon structures into SMILES strings …

Transformer-based approach for Optical Chemical Structure Recognition converting chemical images to SELFIES strings with …

Vision Transformer encoder with Transformer decoder for molecular image-to-InChI translation, achieving state-of-the-art …

An end-to-end framework (RCGD) and unambiguous markup language (SSML) for recognizing complex handwritten chemical …

A Transformer-based model (ICMDT) for converting chemical structure images into InChI text strings using a novel Deep …

A deep learning model that converts molecular images directly into graph structures, enabling recognition of abbreviated …

Transformer-based OCSR using a novel synthetic data generation pipeline for robust molecular image interpretation across …

Encoder-decoder model using pre-trained ResNet and attention-based LSTM to translate molecular images into SMILES, …

Patch-based CNN method for detecting Markush structures in chemical images, addressing low signal-to-noise ratios in …