Joakim Lindblad

Joakim Lindblad

Uppsala Universitet

H-index: 23

Europe-Sweden

About Joakim Lindblad

Joakim Lindblad, With an exceptional h-index of 23 and a recent h-index of 15 (since 2020), a distinguished researcher at Uppsala Universitet, specializes in the field of image analysis, pattern recognition, quantitative microscopy, deep learning, explainable artificial intelligence.

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

Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

Early detection of oral potentially malignant disorders: a review on prospective screening methods with regard to global challenges

Bio-Image Informatics Index BIII: A unique database of image analysis tools and workflows for and by the bioimaging community

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Dental hygienists and dentists as providers of brush biopsies for oral mucosa screening

Investigating the Relevance of Contextual Information Towards Improving Deep CNN Based Oral Cancer Screening on Whole Slide Cytology Samples

INSPIRE: Intensity and spatial information-based deformable image registration

Can representation learning for multimodal image registration be improved by supervision of intermediate layers?

Joakim Lindblad Information

University

Position

Centre for Image Analysis Sweden

Citations(all)

2049

Citations(since 2020)

798

Cited By

1566

hIndex(all)

23

hIndex(since 2020)

15

i10Index(all)

47

i10Index(since 2020)

21

Email

University Profile Page

Uppsala Universitet

Google Scholar

View Google Scholar Profile

Joakim Lindblad Skills & Research Interests

image analysis

pattern recognition

quantitative microscopy

deep learning

explainable artificial intelligence

Top articles of Joakim Lindblad

Title

Journal

Author(s)

Publication Date

Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection

PloS one

Nadezhda Koriakina

Nataša Sladoje

Vladimir Bašić

Joakim Lindblad

2024/4/30

Early detection of oral potentially malignant disorders: a review on prospective screening methods with regard to global challenges

General Dentistry

Nour Issa

Jonas Leonas

Bruno C Jham

John C Mitchell

Maria C Cuevas-Nunez

2022/11/1

Bio-Image Informatics Index BIII: A unique database of image analysis tools and workflows for and by the bioimaging community

arXiv preprint arXiv:2312.11256

Chong Zhang

Alban Gaignard

Matus Kalas

Florian Levet

Felipe Delestro

...

2023/12/18

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Love Nordling

Johan Öfverstedt

Joakim Lindblad

Nataša Sladoje

2023/4/18

Dental hygienists and dentists as providers of brush biopsies for oral mucosa screening

International Journal of Dental Hygiene

Kristina Edman

Christina Runow Stark

Vladimir Basic

Joakim Lindblad

Jan‐Michaél Hirsch

2023/8

Investigating the Relevance of Contextual Information Towards Improving Deep CNN Based Oral Cancer Screening on Whole Slide Cytology Samples

Swarnadip Chatterjee

Nataša Sladoje

Joakim Lindblad

2023

INSPIRE: Intensity and spatial information-based deformable image registration

Plos one

Johan Öfverstedt

Joakim Lindblad

Nataša Sladoje

2023/3/3

Can representation learning for multimodal image registration be improved by supervision of intermediate layers?

Elisabeth Wetzer

Joakim Lindblad

Nataša Sladoje

2023/6/25

A paradigm shift in the prevention and diagnosis of oral squamous cell carcinoma

Journal of Oral Pathology & Medicine

Jan‐Michaél Hirsch

Ronak Sandy

Bengt Hasséus

Joakim Lindblad

2023/10

MULTIMODAL DEFORMABLE IMAGE REGISTRATION USING CONTRASTIVE LEARNING OF EQUIVARIANT IMAGE REPRESENTATIONS

Love Nordling

Joakim Lindblad

Nataša Sladoje

Johan Öfverstedt

2023

DCNN based Oral Cancer Screening using Whole Slide Cytology Images: Effect of Increased Patch Size

Swarnadip Chatterjee

Nataša Sladoje

Joakim Lindblad

2022

Cross-sim-NGF: FFT-based global rigid multimodal alignment of image volumes using normalized gradient fields

Johan Öfverstedt

Joakim Lindblad

Nataša Sladoje

2022/7/9

Cross-modality sub-image retrieval using contrastive multimodal image representations

arXiv preprint arXiv:2201.03597

Eva Breznik

Elisabeth Wetzer

Joakim Lindblad

Nataša Sladoje

2022/1/10

Guest Editorial: Discrete Geometry and Mathematical Morphology

Journal of Mathematical Imaging and Vision

Filip Malmberg

Joakim Lindblad

Nataša Sladoje

2022/9

Is image-to-image translation the panacea for multimodal image registration? A comparative study

Plos one

Jiahao Lu

Johan Öfverstedt

Joakim Lindblad

Nataša Sladoje

2022/11/28

Efficient Algorithms for Global Multimodal Image Registration

Johan Öfverstedt

Joakim Lindblad

Natasa Sladoje

2022

Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment

Pattern Recognition Letters

Johan Öfverstedt

Joakim Lindblad

Nataša Sladoje

2022/7/1

Re-Ranking Strategies in Cross-Modality Microscopy Retrieval

Elisabeth Wetzer

Eva Breznik

Joakim Lindblad

Nataša Sladoje

2022

Rotation-Equivariant Semantic Instance Segmentation on Biomedical Images

Karl Bengtsson Bernander

Joakim Lindblad

Robin Strand

Ingela Nyström

2022/7/25

Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning

arXiv preprint arXiv:2202.01783

Nadezhda Koriakina

Nataša Sladoje

Vladimir Bašić

Joakim Lindblad

2022/2/3

See List of Professors in Joakim Lindblad University(Uppsala Universitet)

Co-Authors

H-index: 39
Ewert Bengtsson

Ewert Bengtsson

Uppsala Universitet

H-index: 35
Kristofer Gamstedt

Kristofer Gamstedt

Uppsala Universitet

H-index: 35
Carolina Wählby

Carolina Wählby

Uppsala Universitet

H-index: 33
Gunilla Borgefors

Gunilla Borgefors

Uppsala Universitet

H-index: 26
Zoltan Kato

Zoltan Kato

Szegedi Tudományegyetem

H-index: 19
Filip Malmberg

Filip Malmberg

Uppsala Universitet

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