Papers Using VisualTorch#
Published research that has used VisualTorch to visualize model architectures. Used it in your own research? Open a pull request to add it here.
Paper |
Venue (Year) |
|---|---|
Deep learning-based high-information-content graph representation of early stage bacterial biofilms |
npj Biofilms and Microbiomes (2026) |
Energy-Efficient Epileptic Seizure Prediction Using Spiking Neural Networks |
IEEE ISCAS (2026) |
Materials, MDPI (2026) |
Deep learning-based high-information-content graph representation of early stage bacterial biofilms#
Authors: Nersesyan, L. E., Boiko, D. A., Kurbanalieva, S., Dzhemileva, L. U., Kozlov, K. S., Ananikov, V. P. (2026) Venue: npj Biofilms and Microbiomes Link: https://www.nature.com/articles/s41522-026-00971-3
Models early-stage bacterial biofilms as interaction graphs (cells as vertices, predicted intercellular interactions as edges), combining Mask R-CNN for cell segmentation with a custom network (BINet) for interaction prediction - enabling classification of developmental stage and substrate type from image-derived graph features.
Energy-Efficient Epileptic Seizure Prediction Using Spiking Neural Networks#
Authors: Brady, A., Moore-Hill, D., Khan, F., Daoud, H. (2026) Venue: IEEE International Symposium on Circuits and Systems (ISCAS) Link: https://ieeexplore.ieee.org/document/11562867
A patient-specific model, trained on the CHB-MIT scalp EEG dataset, that combines convolutional layers with Leaky Integrate-and-Fire spiking neurons and a recurrent network to detect pre-ictal (pre-seizure) brain states - the low energy consumption of spiking neurons targets power-constrained, on-device seizure prediction for wearable/IoT devices.
Failure Evaluation of Steel Plate Shear Walls in Multi-Storey Steel Buildings Under Seismic Excitation Using Convolutional Neural Networks#
Authors: Bonfini, P., Schetakis, N., Sukhnandan, J., Drosopoulos, G. A., Stavroulakis, G. E. (2026) Venue: Materials (MDPI) Link: https://www.mdpi.com/1996-1944/19/5/878
Trains a CNN on physics-based finite element simulations to predict equivalent plastic strain (failure distribution) on steel plate shear walls from building geometry and seismic intensity, for use in structural digital twins.
