Diyuan Lu

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 10

Top Topics

Energy Efficient

Top Venues

Publications

Amr Farahat, Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
Diagnosing Epileptogenesis with Deep Anomaly Detection. MLHC (2022)
Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation. ICASSP (2021)
Diyuan Lu, Gerhard Kurz, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
Multiple Instance Learning for Brain Tumor Detection from Magnetic Resonance Spectroscopy Data. CoRR (2021)
Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
Towards Early Diagnosis of Epilepsy from EEG Data. MLHC (2020)
Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
Towards Early Diagnosis of Epilepsy from EEG Data. CoRR (2020)
Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
Staging Epileptogenesis with Deep Neural Networks. BCB (2020)
Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen, Jochen Triesch
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation. CoRR (2020)
Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
Staging Epileptogenesis with Deep Neural Networks. CoRR (2020)
Diyuan Lu, Jochen Triesch
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy. CoRR (2019)
Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch
A Deep Residual Neural Network Based Framework for Epileptogenesis Detection in a Rodent Model with Single-Channel EEG Recordings. CISP-BMEI (2019)
Diyuan Lu, Rongxin Cui, Ping Wang
Energy efficient path planning of autonomous underwater vehicles for environment modeling. MFI (2014)