Adam Krzyzak, Concordia University

Research

artificial intelligence in medicine machine learning neural networks and deep learning nonparametric inference pattern recognition

Latest papers

Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features.
Sensors (Basel, Switzerland) · 2023 · senior author
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2006
Toward automatic computer aided dental X-ray analysis using level set method.
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2005

All 3 publications

Latest funding

Deep Learning with Applications in Pattern Recognition and Image Analysis
NSERC · 2020 · Principal investigator
$174,000
Application of deep learning to segmentation and grading of fine needle biopsy breast images
NSERC · 2019 · Principal investigator
$25,000
Nonparametric Learning with Applications in Pattern Recognition and Image Analysis
NSERC · 2015 · Principal investigator
$145,000

All 14 grants and awards

3 publications.

01

Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features.

Chen G, Krzyzak A

Sensors (Basel, Switzerland)2023Senior author

DOI: 10.3390/s23083842 PMID: 37112182

02

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments.

Li S, Fevens T, Krzyzak A, Li S

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society2006

DOI: 10.1016/j.compmedimag.2005.10.007 PMID: 16500077

03

Toward automatic computer aided dental X-ray analysis using level set method.

Li S, Fevens T, Krzyzak A, Jin C, Li S

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2005

DOI: 10.1007/11566465_83 PMID: 16685904

Deep Learning with Applications in Pattern Recognition and Image Analysis

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

Keywords: machine learning; neural networks and deep learning; artificial intelligence in medicine; pattern recognition; nonparametric inference

$174,000

Application of deep learning to segmentation and grading of fine needle biopsy breast images

Principal investigatorNSERC2019Engage Grants Program

Principal investigators: Krzyzak, Adam

$25,000

Nonparametric Learning with Applications in Pattern Recognition and Image Analysis

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

$145,000

Nonparametric estimation and learning with applications to object recognition and image analysis

Principal investigatorNSERC2010Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

$215,000

Nonlinear and statistical learning techniques in pattern recognition, image processing and signal analysis

Principal investigatorNSERC2005Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

$235,000

Research om numerical modelling of physical systems, pattern recognition, and image processing

Co-investigatorNSERC2002Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Fevens, Thomas

$84,663

Nonparametric techniques in pattern recognition, neural networks and signal processing

Principal investigatorNSERC2000Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

$225,000

Nonarametric learning, neural networks and signal processing

Principal investigatorNSERC1996Discovery Grants Program - Individual

Principal investigators: Krzyzak, Adam

$159,563

Sparcstation for pattern recognition and image processing

Co-investigatorNSERC1996Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Suen, Ching

$63,000

Centre for Pattern Recognition and Machine Intelligence - CENPARMI

Co-investigatorNSERC1994Infrastructure Grants (H)

Principal investigators: Suen, Ching

$38,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Thomas Fevens

Computer Science and Software Engineering

2 shared papers, latest 2006

Write to this professor

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Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: artificial intelligence in medicine Dear Professor Krzyzak, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Invariant Pattern Recognition with Log-Polar Transform and Dual-Tree Complex Wavelet-Fourier Features." (2023), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Deep Learning with Applications in Pattern Recognition and Image Analysis" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]