Joel Saltz
17 papers · 2017–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (14)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Trend Setter
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Research topics
Deep Learning
(9)
Machine Learning
(9)
Computer Vision
(8)
Core Methods
(6)
Domain-Specific
(5)
Models
(5)
Healthcare & Medicine
(4)
Clinical
(4)
Generation
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Keywords
medical imaging
(4)
digital pathology
(4)
generative model
(3)
whole slide image
(2)
latent diffusion model
(2)
self-supervised learning
(2)
convolutional neural network
(2)
histopathology image
(2)
multiple instance learning
(2)
image generation
(1)
human pose estimation
(1)
image synthesis
(1)
text-to-image generation
(1)
deep clustering
(1)
few-shot learning
(1)
image classification
(1)
data augmentation
(1)
semantic segmentation
(1)
remote sensing
(1)
deep learning
(1)
Papers
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
ICCV 2025
Pathology Image Compression with Pre-trained Autoencoders
MICCAI 2025
ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation
CVPR 2025
β-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
ECCV 2024
Decoding the visual attention of pathologists to reveal their level of expertise
MICCAI 2024
Learned Representation-Guided Diffusion Models for Large-Image Generation
CVPR 2024
PathLDM: Text Conditioned Latent Diffusion Model for Histopathology
WACV 2024
Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
MICCAI 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
CVPR 2024
Few Shot Hematopoietic Cell Classification
MIDL 2023
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
CVPR 2023
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
MIDL 2023
Learning Topological Interactions for Multi-Class Medical Image Segmentation
ECCV 2022
Multi-Class Cell Detection Using Spatial Context Representation
ICCV 2021
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
MIDL 2021
Label super-resolution networks
ICLR 2019
ConvNets with Smooth Adaptive Activation Functions for Regression
AISTATS 2017