3 papers
cs.LG2026
HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology
Kritanu Chattopadhyay, Soumya Chatterjee, Ondrej Krejcar +1
Spatial transcriptomics assays remain costly and technically demanding, restricting transcriptome-wide profiling to specialist settings and preventing routine clinical deployment.…
cs.CV2024
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
Asish Bera, Debotosh Bhattacharjee, Ondrej Krejcar
Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. The deep learning…
cs.CV2024
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition
Asish Bera, Ondrej Krejcar, Debotosh Bhattacharjee
Deep Convolutional Neural Networks (CNNs) have facilitated remarkable success in recognizing various food items and agricultural stress. A decent performance boost has been witness…