Joseph Jacob
5 papers · 2020–2026 · 2 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(2)
🌈
Renaissance Researcher
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
MIDL (4)
NIPS (1)
Top co-authors
Keywords
computed tomography
(2)
probabilistic modeling
(1)
model calibration
(1)
multi-modal learning
(1)
medical image segmentation
(1)
survival analysis
(1)
annotator reliability
(1)
convolutional neural network
(1)
missing data imputation
(1)
convolutional network
(1)
neural ordinary differential equation
(1)
foundation model
(1)
world model
(1)
noisy label
(1)
masked autoencoder
(1)
ground truth
(1)
feature perturbation
(1)
ground truth estimation
(1)
disease progression modeling
(1)
consistency regularisation
(1)
Papers
Scalable Detection of Undiagnosed ILD in Population Screening: A Multi-Cohort Study using 3D Foundation Models
MIDL 2026
4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis
MIDL 2025
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
MIDL 2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
MIDL 2022
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NIPS 2020