john klein

About john klein

john klein, With an exceptional h-index of 13 and a recent h-index of 8 (since 2020), a distinguished researcher at Université de Lille, specializes in the field of Reasoning under uncertainty, Signal processing, Machine learning, Artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation

Toward reliable jpeg steganalysis (at qf100)

State space partitioning based on constrained spectral clustering for block particle filtering

Backpack: A backpropagable adversarial embedding scheme

Vers une stéganalyse certifiée pour des images JPEG

Filtrage particulaire par bloc parallèle

SODA: Self-Organizing Data Augmentation in Deep Neural Networks Application to Biomedical Image Segmentation Tasks

Parallel block particle filtering

john klein Information

University

Position

associate professor

Citations(all)

605

Citations(since 2020)

416

Cited By

290

hIndex(all)

13

hIndex(since 2020)

8

i10Index(all)

16

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

john klein Skills & Research Interests

Reasoning under uncertainty

Signal processing

Machine learning

Artificial intelligence

Top articles of john klein

Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation

Computers in Biology and Medicine

2023/1/1

John Klein
John Klein

H-Index: 7

Toward reliable jpeg steganalysis (at qf100)

2022/12/12

John Klein
John Klein

H-Index: 7

State space partitioning based on constrained spectral clustering for block particle filtering

Signal Processing

2022/12/1

Rui Min
Rui Min

H-Index: 12

John Klein
John Klein

H-Index: 7

Backpack: A backpropagable adversarial embedding scheme

IEEE Transactions on Information Forensics and Security

2022/9/14

John Klein
John Klein

H-Index: 7

Vers une stéganalyse certifiée pour des images JPEG

2022/9/9

John Klein
John Klein

H-Index: 7

Filtrage particulaire par bloc parallèle

2022/9/6

Rui Min
Rui Min

H-Index: 12

John Klein
John Klein

H-Index: 7

SODA: Self-Organizing Data Augmentation in Deep Neural Networks Application to Biomedical Image Segmentation Tasks

2022/5/23

John Klein
John Klein

H-Index: 7

Parallel block particle filtering

2021/7/11

Rui Min
Rui Min

H-Index: 12

John Klein
John Klein

H-Index: 7

Optimizing additive approximations of non-additive distortion functions

2021/6/17

John Klein
John Klein

H-Index: 7

Block Kalman filter: an asymptotic block particle filter in the linear Gaussian case

2021/6/6

Rui Min
Rui Min

H-Index: 12

John Klein
John Klein

H-Index: 7

Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data

Medical physics

2021/6

John Klein
John Klein

H-Index: 7

Adversarial Embedding in the JPEG Domain Induces Correlations Between DCT Coefficients to Remove Blocking Artifacts Generated by Additive Embedding

2020/11/30

John Klein
John Klein

H-Index: 7

Tomas Pevny
Tomas Pevny

H-Index: 26

Explicit optimization of min max steganographic game

IEEE Transactions on Information Forensics and Security

2020/9/4

John Klein
John Klein

H-Index: 7

Tomas Pevny
Tomas Pevny

H-Index: 26

SPOCC: Scalable POssibilistic Classifier Combination-toward robust aggregation of classifiers

Expert Systems with Applications

2020/7/15

John Klein
John Klein

H-Index: 7

MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network

Physics in Medicine & Biology

2020/4/2

John Klein
John Klein

H-Index: 7

Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles

2020

John Klein
John Klein

H-Index: 7

See List of Professors in john klein University(Université de Lille)

Co-Authors

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