Joseph Jacob
5 papers · 2020–2026 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Deep Learning
(4)
Healthcare & Medicine
(3)
Machine Learning
(3)
Architectures
(3)
Clinical
(3)
Computer Vision
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
computed tomography
(2)
probabilistic modeling
(1)
model calibration
(1)
multimodal 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
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
MIDL 2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
MIDL 2022
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020