Curriculum Vitae

Forschungsgebiet

Abschlussarbeiten

 Bayesian Optimization-based Electrode Layout Design for Retinal Implants
Ansprechpartner: Yuli Wu

Veröffentlichungen

2024

Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann, Rüveyda Yilmaz, Peter Walter and Johannes Stegmaier
Visual Fixation-Based Retinal Prosthetic Simulation
In: arXiv preprint arXiv:2410.11688

2024

Yuli Wu, Julian Wittmann, Peter Walter and Johannes Stegmaier
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
In: arXiv preprint arXiv:2403.04884

2024

Chendi Zhu, Lujun Li, Yuli Wu and Zhengxing Sun
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
In: Proceedings of the AAAI Conference on Artificial Intelligence

2024

Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter and Johannes Stegmaier
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
In: IEEE 21st International Symposium on Biomedical Imaging (ISBI)

2024

Reza Azad, Moein Heidary, Kadir Ylmaz, Michael Hüttemann, Sanaz Karimijafarbigloo, Yuli Wu, Anke Schmeink and Dorit Merhof
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
In: arXiv preprint arXiv:2312.05391

2023

Long Chen, Yuli Wu, Johannes Stegmaier and Dorit Merhof
SortedAP: Rethinking Evaluation Metrics for Instance Segmentation
In: ICCV Workshop on BioImage Computing

2023

Yuli Wu, Laura Koch, Peter Walter and Dorit Merhof
Abstract: Convolutional Neural Network-based Inverse Encoder for Optimization of Retinal Prosthetic Stimulation
In: Artificial Vision – The International Symposium on Visual Prosthetics

2023

Yuli Wu, Ivan Karetic, Johannes Stegmaier, Peter Walter and Dorit Merhof
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
In: International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

2022

Long Chen, Yuli Wu and Dorit Merhof
Instance Segmentation of Dense and Overlapping Objects via Layering
In: The British Machine Vision Conference (BMVC)

2022

Reza Azad, Moein Heidari, Yuli Wu and Dorit Merhof
Contextual Attention Network: Transformer Meets U-Net
In: MICCAI Workshop on Machine Learning in Medical Imaging (MLMI 2022)

2022

Yuli Wu, Peter Walter and Dorit Merhof
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
In: Bildverarbeitung fuer die Medizin (BVM)

2021

Yuli Wu, Yucheng Hu, Suting Miao Object Detection Based Handwriting Localization In: ICDAR Workshop on Industrial Applications of Document Analysis and Recognition

2020

Yuli Wu, Long Chen and Dorit Merhof
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
In: ECCV Workshop on Computer Vision Problems in Plant Phenotyping

2020

Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch and Dorit Merhof
Semi-supervised Instance Segmentation with a Learned Shape Prior
In: MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID)

Lehre

Praktikum: Laboratory Machine Learning (Masterniveau) seit Sommersemester 2021

Betreute Abschlussarbeiten und HiWis:

• Osmanalp Ömeroğlu: Normative prior-guided structural-functional transition in glaucoma assessment (HiWi)
• Fucheng Liu: Evaluating fundus photography synthesis with modality-specific Fréchet Inception Distance (Master Thesis)
• Hao-Yu Lee: Collecting visual image and eye tracking data with ARIA glasses for retinal prosthetic simulation (HiWi)
• Yudai Yamauchi: Retinal optical coherence tomography synthesis with normalizing flow-based generative models (Master Thesis of the double-degree program with Keio University)
• Do Dinh Tan Nguyen: Vision Transformer-based retinal prosthetic simulation with predicted visual fixations (Master Thesis)
• Kaan Keven: Registration and 3D reconstruction of 2D histological slices of eye balls (HiWi)
• Weidong He: OCT data generation with denoising diffusion probabilistic models for layer segmentation (Mini Thesis of the double-degree program with Tsinghua University, co-supervised with WZL)
• Yunmai Yao: Visual field prediction with optical coherence tomography images via retinal layer segmentation (Bachelor Thesis)
• Julian Wittmann: Optimization of the stimulation pattern for retinal implants using invertible neural networks (Master Thesis)
• David Dziuba: Embedding-based pixel-wise contrastive learning for panoptic segmentation using convolutional neural networks (Master Thesis)
• Ivan Karetic: Optimization of retinal prosthetic stimulation using deep learning techniques (HiWi)
• Laura Koch: Model-aware optimization of retinal prosthetic stimulation on static grayscale images using pulse2percept (Bachelor Thesis, co-supervised with Chair of Software Engineering)
• Dahan Wang: Layer segmentation and glaucoma detection on optical coherence tomography images using deep learning (Master Thesis)
• Zidong Liu: Circular sectoral anchors for leaf segmentation with Mask R-CNN (Master Thesis)
• Jona Schulz: Supervised cross-image pixelwise contrastive learning for semantic segmentation on Cityscapes (Bachelor Thesis); OCT layer segmentation with standard Transformers (HiWi)
• Qianru Cai: Visual explanation of eye disease classification on fundus images using generative adversarial networks (Master Thesis)
• Chendi Zhu: Improving semantic segmentation with contrastive learning on Cityscapes through neural architecture search (Master Thesis)
• Emre Özcanoğlu: Loss balancing for multitask learning on fundus images with shared representations (Master Thesis)
• Niklas Demel: Fovea localization on fundus images including prior knowledge about the location of the optic disc using deep learning (Bachelor Thesis)
• Niels Etschenberg: Questionnaires with visually impaired subjects (HiWi, collaborated with Department of Ophthalmology)

   Wenn eines der oben genannten Themen Ihr Interesse für eine Abschlussarbeit weckt, senden Sie mir bitte eine E-Mail mit Ihrem Lebenslauf und Notenspiegel.