Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing

29 September 2022

Guang Li

Ren Togo

Takahiro Ogawa

Miki Haseyama

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Papers citing "Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing"

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Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka C. Ouyang Katharina Breininger Peter J. Schüffler Bernhard Kainz DD 37 0 0 10 May 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li G. Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 42 0 0 08 Jan 2025
Dataset Distillation for Histopathology Image Classification Cong Cong Shiyu Xuan Sidong Liu M. Pagnucco Shiliang Zhang Yang Song DD 28 0 0 19 Aug 2024
Generative Dataset Distillation Based on Diffusion Model Duo Su Junjie Hou Guang Li Ren Togo Rui Song Takahiro Ogawa Miki Haseyama VGen DD 30 4 0 16 Aug 2024
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 49 2 0 19 Jul 2024
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory Wenliang Zhong Haoyu Tang Qinghai Zheng Mingzhu Xu Yupeng Hu Liqiang Nie DD 46 2 0 28 Jun 2024
Image Distillation for Safe Data Sharing in Histopathology Zhe Li Bernhard Kainz DD OOD MedIm 40 5 0 19 Jun 2024
Generative Dataset Distillation: Balancing Global Structure and Local Details Longzhen Li Guang Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 42 5 0 26 Apr 2024
Progressive trajectory matching for medical dataset distillation Zhennaan Yu Yang Liu Qingchao Chen DD 40 4 0 20 Mar 2024
Distributional Dataset Distillation with Subtask Decomposition Tian Qin Zhiwei Deng David Alvarez-Melis DD 85 4 0 01 Mar 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 24 6 0 29 Jan 2024
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 46 0 0 29 May 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 35 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 30 73 0 11 Jan 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 25 8 0 19 Dec 2022
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 11 21 0 19 Dec 2022
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo-Lu Zhao Caiwen Ding Y. Li Dongkuan Xu DD 21 62 0 12 Dec 2022
RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representation from X-Ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 10 0 0 01 Nov 2022
Dataset Distillation Using Parameter Pruning Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 34 20 0 29 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 21 61 0 24 Aug 2022
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 20 11 0 07 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017