Lasse Lensu

Lasse Lensu

Lappeenrannan teknillinen yliopisto

H-index: 20

Europe-Finland

About Lasse Lensu

Lasse Lensu, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Lappeenrannan teknillinen yliopisto, specializes in the field of computer vision, machine vision, pattern recognition, medical image analysis, data analysis.

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

A unified and practical user-centric framework for explainable artificial intelligence

Log-Gaussian gamma processes for training Bayesian neural networks in Raman and CARS spectroscopies

Survey of automatic plankton image recognition: Challenges, existing solutions and future perspectives

DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation

Toward phytoplankton parasite detection using autoencoders

Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra

Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks

Open-Set Plankton Recognition Using Similarity Learning

Lasse Lensu Information

University

Position

___

Citations(all)

2765

Citations(since 2020)

1409

Cited By

1872

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

45

i10Index(since 2020)

21

Email

University Profile Page

Lappeenrannan teknillinen yliopisto

Google Scholar

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Lasse Lensu Skills & Research Interests

computer vision

machine vision

pattern recognition

medical image analysis

data analysis

Top articles of Lasse Lensu

Title

Journal

Author(s)

Publication Date

A unified and practical user-centric framework for explainable artificial intelligence

Knowledge-Based Systems

Sinan Kaplan

Hannu Uusitalo

Lasse Lensu

2024/1/11

Log-Gaussian gamma processes for training Bayesian neural networks in Raman and CARS spectroscopies

Physical Chemistry Chemical Physics

Teemu Härkönen

Erik M Vartiainen

Lasse Lensu

Matthew T Moores

Lassi Roininen

2024

Survey of automatic plankton image recognition: Challenges, existing solutions and future perspectives

Artificial Intelligence Review

Tuomas Eerola

Daniel Batrakhanov

Nastaran Vatankhah Barazandeh

Kaisa Kraft

Lumi Haraguchi

...

2024/4/12

DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation

arXiv preprint arXiv:2402.05615

Daniel Batrakhanov

Tuomas Eerola

Kaisa Kraft

Lumi Haraguchi

Lasse Lensu

...

2024/2/8

Toward phytoplankton parasite detection using autoencoders

Machine Vision and Applications

Simon Bilik

Daniel Batrakhanov

Tuomas Eerola

Lumi Haraguchi

Kaisa Kraft

...

2023

Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra

Physical Chemistry Chemical Physics

Rajendhar Junjuri

Ali Saghi

Lasse Lensu

Erik M Vartiainen

2023

Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks

RSC advances

Rajendhar Junjuri

Ali Saghi

Lasse Lensu

Erik M Vartiainen

2022

Open-Set Plankton Recognition Using Similarity Learning

Ola Badreldeen Bdawy Mohamed

Tuomas Eerola

Kaisa Kraft

Lasse Lensu

Heikki Kälviäinen

2022/10/3

Silmä on ikkuna ihmisen elimistöön

Sami Sabour

Matti Seppänen

Lasse Lensu

Hannu Uusitalo

2022

Contrastive learning for generating optical coherence tomography images of the retina

Sinan Kaplan

Lasse Lensu

2022/9/18

Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks

Frontiers in Marine Science

Kaisa Kraft

Otso Velhonoja

Tuomas Eerola

Sanna Suikkanen

Timo Tamminen

...

2022/9/2

Convolutional neural network-based retrieval of Raman signals from CARS spectra

Optics Continuum

Rajendhar Junjuri

Ali Saghi

Lasse Lensu

Erik M Vartiainen

2022/6/15

Kaisa Kraft1, Otso Velhonoja1, Tuomas Eerola2, Sanna Suikkanen1, Timo Tamminen1, Lumi Haraguchi1, Pasi Ylöstalo1, Sami Kielosto1, Milla Johansson3, Lasse Lensu2, Heikki …

K Kraft

O Velhonoja

T Eerola

S Suikkanen

T Tamminen

...

2022

Semi-synthetic data generation to fine-tune a convolutional neural network for retrieving Raman signals from CARS spectra

Optics Continuum

Ali Saghi

Rajendhar Junjuri

Lasse Lensu

Erik M Vartiainen

2022/11/15

A Practical Hybrid Active Learning Approach for Human Pose Estimation

Sinan Kaplan

Joni Juvonen

Lasse Lensu

2021

Plankton recognition in images with varying size

Jaroslav Bureš

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

Pavel Zemčík

2021

Virtual sawing using generative adversarial networks

Daniel Batrakhanov

Fedor Zolotarev

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

2021/12/9

On De-Interlacing and Sub-Pixel Precision Tracking

Aakif Nawaz

Toni Kuronen

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

2021/12/9

Deep Bayesian baseline for segmenting diabetic retinopathy lesions: Advances and challenges

Azat Garifullin

Lasse Lensu

Hannu Uusitalo

2021/9/1

Assessing the performance of deep learning models for multivariate probabilistic energy forecasting

Applied Energy

Aleksei Mashlakov

Toni Kuronen

Lasse Lensu

Arto Kaarna

Samuli Honkapuro

2021/3/1

See List of Professors in Lasse Lensu University(Lappeenrannan teknillinen yliopisto)

Co-Authors

H-index: 36
Heikki Kälviäinen

Heikki Kälviäinen

Lappeenrannan teknillinen yliopisto

H-index: 17
Tuomas Eerola

Tuomas Eerola

Lappeenrannan teknillinen yliopisto

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