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Synthetic Sample Selection via Reinforcement Learning

Synthetic Sample Selection via Reinforcement Learning

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
26 August 2020
Jiarong Ye
Yuan Xue
L. R. Long
Sameer Kiran Antani
Z. Xue
K. Cheng
Xiaolei Huang
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Synthetic Sample Selection via Reinforcement Learning"

13 / 13 papers shown
Graph Conditioned Diffusion for Controllable Histopathology Image Generation
Graph Conditioned Diffusion for Controllable Histopathology Image Generation
Sarah Cechnicka
Matthew Baugh
Weitong Zhang
Mischa Dombrowski
Zhe Li
Johannes C. Paetzold
C. Roufosse
Bernhard Kainz
DiffMMedIm
152
0
0
08 Oct 2025
Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data
Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data
Ekaterina Redekop
Mara Pleasure
Vedrana Ivezić
Zichen Wang
Kimberly Flores
Anthony Sisk
W. Speier
C. Arnold
MedIm
273
2
0
15 Apr 2025
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets
H. Kniesel
Pedro Hermosilla
Timo Ropinski
377
1
0
12 Mar 2025
Synthetic Augmentation with Large-scale Unconditional Pre-training
Synthetic Augmentation with Large-scale Unconditional Pre-trainingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Jiarong Ye
Haomiao Ni
Peng Jin
Sharon X. Huang
Yuan Xue
MedIm
216
26
0
08 Aug 2023
Realistic Data Enrichment for Robust Image Segmentation in
  Histopathology
Realistic Data Enrichment for Robust Image Segmentation in Histopathology
Sarah Cechnicka
James G. C. Ball
Hadrien Reynaud
C. Arthurs
C. Roufosse
Bernhard Kainz
DiffM
264
7
0
19 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning
Synthetic Sample Selection for Generalized Zero-Shot Learning
Shreyank N. Gowda
225
26
0
06 Apr 2023
RLogist: Fast Observation Strategy on Whole-slide Images with Deep
  Reinforcement Learning
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Boxuan Zhao
Jun Zhang
Deheng Ye
Jiancheng Cao
Xiao Han
Qiang Fu
Wei Yang
OffRL
331
17
0
04 Dec 2022
Reinforcement Learning in Medical Image Analysis: Concepts,
  Applications, Challenges, and Future Directions
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future DirectionsJournal of Applied Clinical Medical Physics (JACMP), 2022
Mingzhe Hu
Jiahan Zhang
L. Matkovic
Tian Liu
Xiaofeng Yang
OffRL
191
86
0
28 Jun 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's
  Disease Classification
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease ClassificationFrontiers in Radiology (Front. Radiol.), 2022
Tian Xia
Pedro Sanchez
C. Qin
Sotirios A. Tsaftaris
OODMedIm
312
15
0
15 Mar 2022
Image quality assessment by overlapping task-specific and task-agnostic
  measures: application to prostate multiparametric MR images for cancer
  segmentation
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentationMachine Learning for Biomedical Imaging (MLBI), 2022
Shaheer U. Saeed
Wen Yan
Yunguan Fu
F. Giganti
Qianye Yang
...
Richard E. Fan
G. Sonn
M. Emberton
D. Barratt
Yipeng Hu
335
10
0
20 Feb 2022
SelectAugment: Hierarchical Deterministic Sample Selection for Data
  Augmentation
SelectAugment: Hierarchical Deterministic Sample Selection for Data AugmentationAAAI Conference on Artificial Intelligence (AAAI), 2021
Shiqi Lin
Zhizheng Zhang
Xin Li
Wenjun Zeng
Zhibo Chen
351
13
0
06 Dec 2021
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis:
  A Critical Review
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
Alceu Bissoto
Eduardo Valle
Sandra Avila
MedIm
273
88
0
20 Apr 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
273
180
0
05 Mar 2021
1
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