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Methodology
← Domain-Specific
Computer Vision
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Domain-Specific
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Medical Imaging
1931 directly classified papers
Papers per year
2006: 3
2008: 2
2009: 2
2010: 3
2011: 1
2012: 3
2013: 24
2014: 22
2015: 20
2016: 21
2017: 18
2018: 37
2019: 107
2020: 137
2021: 171
2022: 221
2023: 291
2024: 296
2025: 392
2026: 160
Papers
Localizing Neurosurgical Instruments Across Domains and in the Wild
MIDL 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning
CVPR 2021
Robust Compressed Sensing MRI with Deep Generative Priors
NIPS 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
NIPS 2021
Explainable Image Quality Analysis of Chest X-Rays
MIDL 2021
Lesion-Aware Transformers for Diabetic Retinopathy Grading
CVPR 2021
Balanced sampling for an object detection problem - application to fetal anatomies detection
MIDL 2021
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT
MIDL 2021
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
MIDL 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
MIDL 2021
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
MIDL 2021
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
MIDL 2021
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
MIDL 2021
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
MIDL 2021
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
MIDL 2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
MIDL 2021
Understanding and Visualizing Generalization in UNets
MIDL 2021
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation
MIDL 2021
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
MIDL 2021
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
CVPR 2021
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
NIPS 2021
Spot the Difference: Detection of Topological Changes via Geometric Alignment
NIPS 2021
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
NIPS 2021
Breaking the Dilemma of Medical Image-to-image Translation
NIPS 2021
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network
CVPR 2021
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