World's Best Scientists 2026 revealed!

Overview

Paul F. Whelan is affiliated with Dublin City University in Ireland. Their research spans multiple fields, primarily Agricultural and Biological Sciences and Computer Science, each supported by three publications. Their scientific work extends into relevant subfields including Computer Vision and Pattern Recognition, Ecology, Evolution, Behavior and Systematics, Genetics, Geometry and Topology, and Molecular Biology.

The scientist's main research topics focus on various aspects of morphology, ecology, and medical conditions, with notable emphasis on craniofacial disorders, morphological asymmetry, dental development and anomalies, lichen and fungal ecology, botany and plant ecology studies, biocrusts, microbial ecology, and studies related to body image and dysmorphia.

Whelan's recent papers demonstrate a breadth of interdisciplinary collaboration and topics:

  • Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis (2020, Psychiatry Research)
  • The underestimated fraction: diversity, challenges and novel insights into unicellular cyanobionts of lichens (2024, ISME Communications)
  • Loss of normal facial asymmetry in schizophrenia and bipolar disorder: Implications for development of brain asymmetry in psychotic illness (2024, Psychiatry Research)
  • A spatial hue similarity measure for assessment of colourisation (2020, arXiv (Cornell University))
  • Human vs Objective Evaluation of Colourisation Performance (2022, arXiv (Cornell University))

Their frequent coauthors include Stanislav Katina, Brendan D. Kelly, Mario A. Rojas, Federico M. Sukno, and Abbie Lane, each contributing to multiple collaborative works. Key venues for their publications are Psychiatry Research, arXiv (Cornell University), and ISME Communications, reflecting interdisciplinary approaches to both clinical and ecological subjects.

Whelan's contributions intersect computational and biological sciences, with a notable integration of computer vision methods applied to biological and medical research challenges. This is evident in the fusion of ecological studies of lichens and microbial communities with investigations into craniofacial morphology and neuropsychiatric conditions.

Best Publications

  • Experiments in colour texture analysis

    A. Drimbarean;P. F. Whelan

  • Using filter banks in Convolutional Neural Networks for texture classification

    Vincent Andrearczyk;Paul F. Whelan

  • Image segmentation based on the integration of colour-texture descriptors-A review

    Dana E. Ilea;Paul F. Whelan

  • Automatic segmentation of the left ventricle cavity and myocardium in MRI data

    M. Lynch;O. Ghita;P. F. Whelan

  • Segmentation of the Left Ventricle of the Heart in 3-D+t MRI Data Using an Optimized Nonrigid Temporal Model

    M. Lynch;O. Ghita;P.F. Whelan

  • Which pattern? Biasing aspects of planar calibration patterns and detection methods

    John Mallon;Paul F. Whelan

  • Projective rectification from the fundamental matrix

    John Mallon;Paul F. Whelan

  • Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge.

    Michael Lynch;Ovidiu Ghita;Paul F. Whelan

  • CTex—An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence

    D.E. Ilea;P.F. Whelan

  • Fuzzy Spectral and Spatial Feature Integration for Classification of Nonferrous Materials in Hyperspectral Data

    A. Picon;O. Ghita;P.F. Whelan;P.M. Iriondo

  • Calibration and removal of lateral chromatic aberration in images

    John Mallon;Paul F. Whelan

  • Intelligent Vision Systems for Industry

    Bruce G. Batchelor;Paul F. Whelan

  • Precise radial un-distortion of images

    J. Mallon;P.F. Whelan

  • Machine Vision Algorithms in Java: Techniques and Implementation

    Paul F. Whelan;Derek Molloy

  • Evaluation of robustness against rotation of LBP, CCR and ILBP features in granite texture classification

    Antonio Fernández;Ovidiu Ghita;Elena González;Francesco Bianconi

  • Efficient morphological reconstruction: a downhill filter

    Kevin Robinson;Paul F. Whelan

  • 3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features

    Federico M. Sukno;John L. Waddington;Paul F. Whelan

  • A bin picking system based on depth from defocus

    Ovidiu Ghita;Paul F. Whelan

  • Convolutional neural network on three orthogonal planes for dynamic texture classification

    Vincent Andrearczyk;Paul F. Whelan

  • Segmentation of skin cancer images

    Padmapriya Nammalwar;Ovidiu Ghita;Paul F. Whelan

Frequent Co-Authors

John L. Waddington
John L. Waddington Royal College of Surgeons in Ireland
Andras Czirok
Andras Czirok University of Kansas
Liam P. Barry
Liam P. Barry Dublin City University
Pierre Soille
Pierre Soille Joint Research Centre
Brendan D. Kelly
Brendan D. Kelly Trinity College Dublin
Jochen H. M. Prehn
Jochen H. M. Prehn Royal College of Surgeons in Ireland
Rasmus Larsen
Rasmus Larsen Technical University of Denmark
Fionn Murtagh
Fionn Murtagh University of Huddersfield

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