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Diyuan Lu
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2020 – today
- 2023
- [c7]Diyuan Lu
, Gerhard Kurz
Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data. ICANN (4) 2023: 1-12 - 2022
- [b1]Diyuan Lu:
Machine learning for healthcare with a focus on the early diagnosis of epilepsy and brain tumor detection. Frankfurt University, Germany, 2022 - [c6]Amr Farahat, Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Diagnosing Epileptogenesis with Deep Anomaly Detection. MLHC 2022: 325-342 - 2021
- [c5]Diyuan Lu, Nenad Polomac, Iskra Gacheva, Elke Hattingen
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation And Augmentation. ICASSP 2021: 3975-3979 - [i5]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 abs/2112.08845 (2021) - 2020
- [c4]Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Staging Epileptogenesis with Deep Neural Networks. BCB 2020: 60:1-60:10 - [c3]Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Towards Early Diagnosis of Epilepsy from EEG Data. MLHC 2020: 80-96 - [i4]Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Towards Early Diagnosis of Epilepsy from EEG Data. CoRR abs/2006.06675 (2020) - [i3]Diyuan Lu, Sebastian Bauer, Valentin Neubert, Lara Sophie Costard, Felix Rosenow, Jochen Triesch:
Staging Epileptogenesis with Deep Neural Networks. CoRR abs/2006.09885 (2020) - [i2]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 abs/2006.12285 (2020)
2010 – 2019
- 2019
- [c2]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: 1-6 - [i1]Diyuan Lu, Jochen Triesch:
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy. CoRR abs/1903.08100 (2019) - 2014
- [c1]Diyuan Lu, Rongxin Cui, Ping Wang:
Energy efficient path planning of autonomous underwater vehicles for environment modeling. MFI 2014: 1-6
Coauthor Index
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