CLINICAL: Targeted Active Learning for Imbalanced Medical Image
Classification

CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification

4 October 2022

Suraj Kothawade

Atharv Savarkar

Ganesh Ramakrishnan

Rishabh K. Iyer

Papers citing "CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification"

7 / 7 papers shown

Title
Theoretical Analysis of Submodular Information Measures for Targeted Data Subset Selection Nathan Beck Truong Pham Rishabh K. Iyer 17 1 0 21 Feb 2024
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 22 0 22 Oct 2023
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification Jia-ju Mao Shu-Hua Guo Yuan Chang Xuesong Yin Binling Nie 26 2 0 10 May 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 36 16 0 15 Nov 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 183 648 0 27 Oct 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 91 188 0 27 Feb 2021