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Nigel Gordon Maher

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Melanoma Institute Australia

Australia

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Deep learning pathology image analysis of neoadjuvant treated melanoma

Open Date: 2024-06-01

Close Date: 2026-05-31

Articles (20)

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Collaborators (30)

Kristijan Skok

Medical University of Graz

AUSTRIA

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Georgina V. Long

University of Sydney

AUSTRALIA

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Catriona Mckenzie

Associate Professor

Royal Adelaide Hospital

AUSTRALIA

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Su Yin Lim

Macquarie University

AUSTRALIA

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Irene Gullo

Professor Auxiliar Convidado

University of Porto

PORTUGAL

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Sidong Liu

Macquarie University

AUSTRALIA

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Alexander M. Menzies

University of Sydney

AUSTRALIA

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Serigne N. Lô

Head

Melanoma Institute Australia

AUSTRALIA

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Sydney Ch'ng

University of Sydney

AUSTRALIA

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Sally O’Shea

IRELAND

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Derek Magee

Associate Professor

University of Leeds

UNITED KINGDOM

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Nikos Tsiknakis

Karolinska Institutet

SWEDEN

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Cong Cong

Macquarie University

AUSTRALIA

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Balazs Acs

Associate Professor

Karolinska Institutet

SWEDEN

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Miles Andrews

Group Leader

MONASH UNIVERSITY

AUSTRALIA

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Jordan Conway

University of Sydney

AUSTRALIA

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Wiebke Solass

Head of Gynecopathology

University of Bern

SWITZERLAND

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Peter M. Ferguson

Melanoma Institute Australia

AUSTRALIA

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Robert Insall

Professor of Computational Cell Biology

University College London

UNITED KINGDOM

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Chenhao Zhou

The University of Queensland

AUSTRALIA

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Marlous Hall

Associate Professor of Epidemiology

University of Leeds

UNITED KINGDOM

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Elena Shklovskaya

Macquarie University

AUSTRALIA

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James Wilmott

Associate Professor

The University of Sydney Library

AUSTRALIA

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Nir Pillar

University of California, Los Angeles

UNITED STATES

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Ellen H. W. Kapiteijn

Professor in Medical Oncology

Leiden University Medical Center

NETHERLANDS

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Richard A. Scolyer

Faculty Member

University of Sydney

AUSTRALIA

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Kerwin Shannon

Head and Neck Surgeon / Surgical Oncologist

Chris O'Brien Lifehouse

AUSTRALIA

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Tobias Sinnberg

University of Tuebingen

GERMANY

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Francesca Maria Bosisio

University Hospitals Leuven

BELGIUM

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Aditya Pratapa

Assistant Research Professor

Duke University

UNITED STATES

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Nigel Gordon Maher

Research Interests

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Recent Grants

Articles (20)

AI‐derived prognostic biomarkers from melanoma whole slide image segmentation: an initial discovery and assessment

GLUT1 expression, lymphocyte distribution and CD3&lt;sup&gt;+&lt;/sup&gt; T-cell metabolic subsets as predictive markers of response to immunotherapy in advanced melanoma.

Prospective tumour mutation burden and neoantigen profiling predicts immunotherapy response in metastatic melanoma

Prednisolone modulates CD8⁺ and regulatory T-cell activity to dampen response to immune checkpoint inhibitor therapy in melanoma

Enhanced measures of neoantigenicity capture unique tumor-immune interactions across primary melanoma subtypes

Pathologist-Read vs AI-Driven Assessment of Tumor-Infiltrating Lymphocytes in Melanoma.

Discovery and Validation of an Ancillary Genomic Test of Malignancy for Primary Melanocytic Tumors

Computer vision methods under rapid evolution for pathology image tasks

Pathological response calculation assessment remains accurate with reduced tumor bed examination following neoadjuvant immunotherapy in clinically detectable stage III melanoma.

Clinical, pathological and molecular characteristics of patients with disease recurrence despite pathologic response to neoadjuvant ipilimumab plus nivolumab in stage III melanoma

Weakly supervised deep learning image analysis can differentiate melanoma from naevi on haematoxylin and eosin-stained histopathology slides

Single-cell spatial multiomics reveals tumor microenvironment vulnerabilities in cancer resistance to immunotherapy

The Development and Evaluation of a Convolutional Neural Network for Cutaneous Melanoma Detection in Whole Slide Images

Neoadjuvant Nivolumab and Ipilimumab in Resectable Stage III Melanoma

The Impact of Next-generation Sequencing on Interobserver Agreement and Diagnostic Accuracy of Desmoplastic Melanocytic Neoplasms.

Synchronous collision metastasis of melanoma and squamous cell carcinoma in a parotid lymph node: a very rare occurrence and literature review

Inter-rater concordance of basal cell carcinoma subtypes: influences on reporting format and opportunities for further classification modifications

Prognostic and predictive biomarkers in melanoma

Lag-3 expression and clinical outcomes in metastatic melanoma patients treated with combination anti-lag-3 + anti-PD-1-based immunotherapies.

Cross-platform comparison of immune signatures in immunotherapy-treated patients with advanced melanoma using a rank-based scoring approach.

Collaborators (30)

Kristijan Skok

Georgina V. Long

Catriona Mckenzie

Su Yin Lim

Irene Gullo

Sidong Liu

Alexander M. Menzies

Serigne N. Lô

Sydney Ch'ng

Sally O’Shea

Derek Magee

Nikos Tsiknakis

Cong Cong

Balazs Acs

Miles Andrews

Jordan Conway

Wiebke Solass

Peter M. Ferguson

Robert Insall

Chenhao Zhou

Marlous Hall

Elena Shklovskaya

James Wilmott

Nir Pillar

Ellen H. W. Kapiteijn

Richard A. Scolyer

Kerwin Shannon

Tobias Sinnberg

Francesca Maria Bosisio

Aditya Pratapa

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GLUT1 expression, lymphocyte distribution and CD3<sup>+</sup> T-cell metabolic subsets as predictive markers of response to immunotherapy in advanced melanoma.