Ronald M. Summers
10 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
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Conference Polyglot
(4)
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Academic Marathon
(10)
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Century Club
(10)
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Keyword Collector
(53)
Conferences
CVPR (6)
MIDL (2)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
medical imaging
(8)
chest x-ray
(4)
recurrent neural network
(2)
convolutional neural network
(2)
weakly supervised learning
(2)
deep convolutional neural network
(2)
disease classification
(2)
computed tomography
(2)
multi-label classification
(2)
multi-task learning
(1)
attention mechanism
(1)
semi-supervised learning
(1)
image classification
(1)
data augmentation
(1)
self-supervised learning
(1)
hierarchical classification
(1)
metric learning
(1)
deep learning
(1)
medical image analysis
(1)
image-to-image translation
(1)
Papers
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
MICCAI 2025
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
MIDL 2021
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
CVPR 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
MIDL 2019
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
CVPR 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
CVPR 2018
ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
CVPR 2017
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
JMLR 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
CVPR 2016
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
CVPR 2015