D-Index & Metrics Best Publications

Esa Rahtu

Tampere University
Finland

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 34 Citations 6,337 125 World Ranking 7987 National Ranking 62

Overview

What is he best known for?

The fields of study Esa Rahtu is best known for:

Machine learning
Statistics
Gene

His study looks at the relationship between Radiological weapon and topics such as Radiology, which overlap with Radiography and Medical diagnosis. While working in this field, he studies both Radiography and Radiology. As a part of the same scientific family, he mostly works in the field of Cohen's kappa, focusing on Machine learning and, on occasion, Logistic regression and Convolutional neural network. Logistic regression is closely attributed to Internal medicine in his research. Many of his studies involve connections with topics such as Clinical trial and Internal medicine. His research on Clinical trial frequently links to adjacent areas such as Pathology. His work blends Pathology and Medical diagnosis studies together. Esa Rahtu integrates many fields in his works, including Convolutional neural network and Machine learning. In the subject of Linguistics, Esa Rahtu integrates adjacent scientific disciplines such as Feature (linguistics) and Object (grammar).

His most cited work include:

Segmenting Salient Objects from Images and Videos (322 citations)
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach (296 citations)
Fine-Grained Visual Classification of Aircraft (289 citations)

What are the main themes of his work throughout his whole career to date

Esa Rahtu performs integrative study on Artificial intelligence and Natural language processing in his works. He brings together Computer vision and Algorithm to produce work in his papers. He performs integrative study on Algorithm and Computer vision in his works. As part of his studies on Image (mathematics), he often connects relevant subjects like Histogram. He applies his multidisciplinary studies on Machine learning and Artificial intelligence in his research. His study brings together the fields of Set (abstract data type) and Programming language. Set (abstract data type) is closely attributed to Programming language in his study. The study of Segmentation is intertwined with the study of Image segmentation in a number of ways. His research combines Segmentation and Image segmentation.

Esa Rahtu most often published in these fields:

Artificial intelligence (94.87%)
Computer vision (74.36%)
Pattern recognition (psychology) (61.54%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fine-Grained Visual Classification of Aircraft

Subhransu Maji;Esa Rahtu;Juho Kannala;Matthew B. Blaschko.
arXiv: Computer Vision and Pattern Recognition (2013)

842 Citations

BSIF: Binarized statistical image features

Juho Kannala;Esa Rahtu.
international conference on pattern recognition (2012)

646 Citations

Segmenting salient objects from images and videos

Esa Rahtu;Juho Kannala;Mikko Salo;Janne Heikkilä.
european conference on computer vision (2010)

605 Citations

Recognition of blurred faces using Local Phase Quantization

T. Ahonen;E. Rahtu;V. Ojansivu;J. Heikkila.
international conference on pattern recognition (2008)

392 Citations

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Aleksei Tiulpin;Jérôme Thevenot;Esa Rahtu;Petri Lehenkari.
Scientific Reports (2018)

265 Citations

Learning a category independent object detection cascade

Esa Rahtu;Juho Kannala;Matthew Blaschko.
international conference on computer vision (2011)

213 Citations

Fast and efficient saliency detection using sparse sampling and kernel density estimation

Hamed Rezazadegan Tavakoli;Esa Rahtu;Janne Heikkilä.
scandinavian conference on image analysis (2011)

210 Citations

Generating Object Segmentation Proposals Using Global and Local Search

Pekka Rantalankila;Juho Kannala;Esa Rahtu.
computer vision and pattern recognition (2014)

203 Citations

Siamese network features for image matching

Iaroslav Melekhov;Juho Kannala;Esa Rahtu.
international conference on pattern recognition (2016)

172 Citations

Rotation invariant local phase quantization for blur insensitive texture analysis

V. Ojansivu;E. Rahtu;J. Heikkila.
international conference on pattern recognition (2008)

155 Citations

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Frequent Co-Authors

External Links

Personal Website for Esa Rahtu