Joseph Bae
4 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15)
🚀
Conference Pioneer
Conferences
CVPR (1)
ICCV (1)
MICCAI (1)
MIDL (1)
Top co-authors
Keywords
disease progression
(2)
medical imaging
(2)
temporal modeling
(1)
self-supervised learning
(1)
spatio-temporal modeling
(1)
clinical outcome prediction
(1)
convolutional neural network
(1)
long short-term memory
(1)
missing modality
(1)
brain tumor segmentation
(1)
medical image
(1)
encoder-decoder network
(1)
chest radiograph
(1)
temporal convolutional network
(1)
temporal context
(1)
modality-agnostic representation
(1)
adversarial learning
(1)
clinical outcome
(1)
vision transformer
(1)
Papers
HoG-Net: Hierarchical Multi-Organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
MICCAI 2024
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
ICCV 2023
Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations
CVPR 2022
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
MIDL 2021