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MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for
  Medical Image Analysis

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

28 October 2020
Jiancheng Yang
Rui Shi
Bingbing Ni
    VLM
ArXivPDFHTML

Papers citing "MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis"

44 / 44 papers shown
Title
Adapting a Segmentation Foundation Model for Medical Image Classification
Adapting a Segmentation Foundation Model for Medical Image Classification
Pengfei Gu
Haoteng Tang
Islam A. Ebeid
Jose Angel Nuñez
Fabian Vazquez
Diego Adame
Marcus Zhan
Huimin Li
Bin Fu
D. Z. Chen
MedIm
VLM
41
0
0
09 May 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
53
0
0
28 Apr 2025
Optimizing Estimators of Squared Calibration Errors in Classification
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
69
1
0
24 Feb 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining
UniMo: Universal Motion Correction For Medical Images without Network Retraining
Jian Wang
Razieh Faghihpirayesh
Danny Joca
Polina Golland
Ali Gholipour
35
0
0
03 Jan 2025
Self-Assembly of a Biologically Plausible Learning Circuit
Self-Assembly of a Biologically Plausible Learning Circuit
Q. Liao
Liu Ziyin
Yulu Gan
Brian Cheung
Mark Harnett
Tomaso Poggio
49
0
0
31 Dec 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging
Rui Luo
Jie Bao
Zhixin Zhou
Chuangyin Dang
MedIm
AAML
37
5
0
07 Nov 2024
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
A. Mahbod
Nematollah Saeidi
Sepideh Hatamikia
Ramona Woitek
VLM
MedIm
26
2
0
14 Sep 2024
Distributional Drift Detection in Medical Imaging with Sketching and Fine-Tuned Transformer
Distributional Drift Detection in Medical Imaging with Sketching and Fine-Tuned Transformer
Yusen Wu
Hao Chen
Alex Pissinou Makki
Phuong Nguyen
MedIm
13
0
0
15 Aug 2024
Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selection
Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selection
Junjing Zheng
Xinyu Zhang
Weidong Jiang
Xiangfeng Qiu
Mingjian Ren
18
0
0
24 Jul 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
35
1
0
29 May 2024
Rejection via Learning Density Ratios
Rejection via Learning Density Ratios
Alexander Soen
Hisham Husain
Philip Schulz
Vu-Linh Nguyen
47
2
0
29 May 2024
Policy Gradient-Driven Noise Mask
Policy Gradient-Driven Noise Mask
Mehmet Can Yavuz
Yang Yang
22
1
0
29 Apr 2024
unORANIC: Unsupervised Orthogonalization of Anatomy and
  Image-Characteristic Features
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic Features
Sebastian Doerrich
Francesco Di Salvo
C. Ledig
25
3
0
29 Aug 2023
Structured Low-Rank Tensors for Generalized Linear Models
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki
Anand D. Sarwate
W. Bajwa
21
2
0
05 Aug 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
Kaushik Roy
Peyman Moghadam
Mehrtash Harandi
22
6
0
31 Jul 2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution
  for Medical Image Classification
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
Aryan Singh
Pepijn Van de Ven
Ciarán Eising
Patrick Denny
GNN
17
2
0
24 Jul 2023
Universal adversarial perturbations for multiple classification tasks
  with quantum classifiers
Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Yun-Zhong Qiu
AAML
22
1
0
21 Jun 2023
Structural Restricted Boltzmann Machine for image denoising and
  classification
Structural Restricted Boltzmann Machine for image denoising and classification
Arkaitz Bidaurrazaga
A. Pérez
Roberto Santana
AI4CE
12
0
0
16 Jun 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Kacper Sokol
E. Small
Yueqing Xuan
32
5
0
05 Jun 2023
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Qin Xie
Qinghua Zhang
Shuyin Xia
Fan Zhao
Chengying Wu
Guoyin Wang
Weiping Ding
6
12
0
29 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
23
12
0
22 May 2023
Blockchain-based Federated Learning with SMPC Model Verification Against
  Poisoning Attack for Healthcare Systems
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems
Aditya Pribadi Kalapaaking
Ibrahim Khalil
X. Yi
11
41
0
26 Apr 2023
Few-shot Class-incremental Learning for Cross-domain Disease
  Classification
Few-shot Class-incremental Learning for Cross-domain Disease Classification
Han Yang
Weijian Huang
Jiarun Liu
Cheng Li
Shanshan Wang
CLL
29
4
0
12 Apr 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
21
176
0
19 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng R. Li
Octavia Camps
Yun Fu
18
5
0
13 Feb 2023
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedIm
SSL
25
12
0
27 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with
  non-uniform Labels
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Soroosh Tayebi Arasteh
P. Isfort
Marwin Saehn
Gustav Mueller-Franzes
Firas Khader
Jakob Nikolas Kather
Christiane Kuhl
S. Nebelung
Daniel Truhn
FedML
22
15
0
24 Nov 2022
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical
  Centerline Extraction
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction
L. Jin
Shixuan Gu
D. Wei
Jason Ken Adhinarta
Kaiming Kuang
Yongjie Jessica Zhang
Hanspeter Pfister
Bingbing Ni
Jiancheng Yang
Ming Li
3DPC
19
15
0
18 Oct 2022
Label Distribution Learning via Implicit Distribution Representation
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng
Xiuyi Jia
12
7
0
28 Sep 2022
Quantum Vision Transformers
Quantum Vision Transformers
El Amine Cherrat
Iordanis Kerenidis
Natansh Mathur
Jonas Landman
M. Strahm
Yun. Y Li
ViT
34
55
0
16 Sep 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
18
2
0
21 Jul 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge
  Distillation for Personalized Healthcare
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen
Wang Lu
Xin Qin
Jindong Wang
Xing Xie
FedML
33
58
0
17 Jun 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
21
8
0
05 May 2022
LifeLonger: A Benchmark for Continual Disease Classification
LifeLonger: A Benchmark for Continual Disease Classification
Mohammad Mahdi Derakhshani
Ivona Najdenkoska
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
Cees G. M. Snoek
27
31
0
12 Apr 2022
CAIPI in Practice: Towards Explainable Interactive Medical Image
  Classification
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification
E. Slany
Yannik Ott
Stephan Scheele
Jan Paulus
Ute Schmid
14
8
0
06 Apr 2022
Image quality assessment for machine learning tasks using
  meta-reinforcement learning
Image quality assessment for machine learning tasks using meta-reinforcement learning
Shaheer U. Saeed
Yunguan Fu
V. Stavrinides
Zachary Michael Cieman Baum
Qianye Yang
...
Richard E. Fan
G. Sonn
J. A. Noble
D. Barratt
Yipeng Hu
18
36
0
27 Mar 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting
Xudong Pan
Yifan Yan
Mi Zhang
Min Yang
16
23
0
19 Jan 2022
Systematic Literature Review: Quantum Machine Learning and its
  applications
Systematic Literature Review: Quantum Machine Learning and its applications
David Peral García
Juan Cruz-Benito
Francisco José García-Penalvo
30
119
0
11 Jan 2022
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical
  Pretrained Models Against Adversarial Attack
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack
Mengting Xu
Tao Zhang
Daoqiang Zhang
AAML
MedIm
13
23
0
29 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
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
166
647
0
27 Oct 2021
Asymmetric 3D Context Fusion for Universal Lesion Detection
Asymmetric 3D Context Fusion for Universal Lesion Detection
Jiancheng Yang
Yi He
Kaiming Kuang
Zudi Lin
Hanspeter Pfister
Bingbing Ni
3DPC
MedIm
25
22
0
17 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
V. Cevher
OOD
25
5
0
17 Sep 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
18
18
0
19 May 2020
A Survey on Deep Learning in Medical Image Analysis
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
10,613
0
19 Feb 2017
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