Describing the structural shape of melanocytic lesions. - Tim Kam Lee; M. Stella Atkins; Richard P. Gallagher; Calum E. MacAulay; Andy Coldman; David I. McLean (Image Processing, 1999)

Optimal excitation wavelengths for discrimination of cervical neoplasia. - Sung K. Chang; Michele Follen; Anais Malpica; Urs Utzinger; Gregg Staerkel; Dennis D. Cox; E. Neely Atkinson; Calum MacAulay; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 2002)

SeeGH - A software tool for visualization of whole genome array comparative genomic hybridization data. - Bryan Chi; Ronald J. deLeeuw; Bradley P. Coe; Calum MacAulay; Wan L. Lam (BMC Bioinform., 2004)

Limited-angle reconstruction algorithms in computed-tomographic microscopic imaging. - Ravil Chamgoulov; Michael Tsiroulnikov; Pierre Lane; Calum MacAulay (Image Processing, 2005)

A stepwise framework for the normalization of array CGH data. - Mehrnoush Khojasteh; Wan L. Lam; Rabab Kreidieh Ward; Calum MacAulay (BMC Bioinform., 2005)

A Java application for tissue section image analysis. - R. Kamalov; Martial Guillaud; D. Haskins; A. Harrison; Roger Kemp; D. Chiu; Michele Follen; Calum MacAulay (Comput. Methods Programs Biomed., 2005)

A Novel Algorithm For the Analysis Of Array Cgh Data. - Mehrnoush Khojasteh; Bradley P. Coe; Sohrab P. Shah; Rabab K. Ward; Wan L. Lam; Calum MacAulay (ICASSP (2), 2006)

SIGMA2: A system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes. - Raj Chari; Bradley P. Coe; Craig Wedseltoft; Marie Benetti; Ian M. Wilson; Emily A. Vucic; Calum MacAulay; Raymond T. Ng; Wan L. Lam (BMC Bioinform., 2008)

MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data. - Bryan Chi; Ronald J. deLeeuw; Bradley P. Coe; Raymond T. Ng; Calum MacAulay; Wan L. Lam (BMC Bioinform., 2008)

An in silico platform for the study of epithelial pre-invasive neoplastic development. - Martial Guillaud; Carole Clem; Calum MacAulay (Biosyst., 2010)

Quantification of membrane IHC stains through multi-spectral imaging. - Mehrnoush Khojasteh; Rabab Kreidieh Ward; Calum MacAulay (ISBI, 2012)

Confocal fluorescence microscopy for detection of cervical preneoplastic lesions. - Fahime Sheikhzadeh; Rabab K. Ward; Anita Carraro; Zhaoyang Chen; Dirk van Niekerk; Calum MacAulay; Michele Follen; Pierre Lane; Martial Guillaud (Digital Pathology, 2015)

Prediction using hierarchical data: Applications for automated detection of cervical cancer. - Jose-Miguel Yamal; Martial Guillaud; E. Neely Atkinson; Michele Follen; Calum MacAulay; Scott B. Cantor; Dennis D. Cox (Stat. Anal. Data Min., 2015)

Sex and Smoking Status Effects on the Early Detection of Early Lung Cancer in High-Risk Smokers Using an Electronic Nose. - Annette McWilliams; Parmida Beigi; Akhila Srinidhi; Stephen Lam; Calum E. MacAulay (IEEE Trans. Biomed. Eng., 2015)

Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networks. - Fahime Sheikhzadeh; Anita Carraro; Jagoda Korbelik; Calum MacAulay; Martial Guillaud; Rabab K. Ward (Digital Pathology, 2016)

Boosted Tree Classifier for in Vivo Identification of Early Cervical Cancer using Multispectral Digital Colposcopy. - Nilgoon Zarei; Dennis D. Cox; Pierre Lane; Scott B. Cantor; E. Neely Atkinson; Jose-Miguel Yamal; Leonid Fradkin; Daniel Serachitopol; Sylvia Lam; Dirk Niekerk; Dianne Miller; Jessica McAlpine; et al. (BIOIMAGING, 2017)

Automated prostate glandular and nuclei detection using hyperspectral imaging. - Nilgoon Zarei; Amir Bakhtiari; Paul Gallagher; Mira Keys; Calum MacAulay (ISBI, 2017)

Quantitative Evaluation of Correction Methods and Simulation of Motion Artifacts for Rotary Pullback Imaging Catheters. - Elham Abouei; Anthony M. D. Lee; Geoffrey Hohert; Pierre Lane; Stephen Lam; Calum MacAulay (MIUA, 2018)

Machine learning and deep learning approaches for classification of sub-cm lung nodules in CT scans (Conference Presentation). - Rohan Abraham; Ian Janzen; Saeed Seyyedi; Sukhinder Khattra; John Mayo; Ren Yuan; Renelle Myers; Stephen Lam; Calum E. MacAulay (Computer-Aided Diagnosis, 2020)

Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers. - Soufiane El Hallani; Calum MacAulay; Martial Guillaud (AI and ML for Digital Pathology, 2020)

Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. - Fereshteh Yousefirizi; Ian Janzen; Natalia Dubljevic; Yueh-En Liu; Chloe Hill; Calum MacAulay; Arman Rahmim (HECKTOR@MICCAI, 2021)

Investigating intra-tumor heterogeneity in non-small cell lung cancer using multiplexed immunohistochemistry and deep learning. - Kouther Noureddine; Paul Gallagher; Griffin Thomas; Sylvia Lam; Gavin MacAulay; Anna McGuire; John English; Martial Guillaud; Calum MacAulay (Digital and Computational Pathology, 2022)

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. - Arman Rahmim; Amirhosein Toosi; Mohammad R. Salmanpour; Natalia Dubljevic; Ian Janzen; Isaac Shiri; Mohamad A. Ramezani; Ren Yuan; Cheryl Ho; Habib Zaidi; Calum MacAulay; Carlos F. Uribe; et al. (CoRR, 2022)

ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. - Puria Azadi; Jonathan Suderman; Ramin Nakhli; Katherine Rich; Maryam Asadi; Sonia Kung; Htoo Oo; Mira Keyes; Hossein Farahani; Calum MacAulay; Larry Goldenberg; Peter Black; et al. (MICCAI (6), 2023)