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Fraser  E Tan
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Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ...
NPJ digital medicine 2 (1), 1-10, 2019
2562019
Science forum: An open investigation of the reproducibility of cancer biology research
TM Errington, E Iorns, W Gunn, FE Tan, J Lomax, BA Nosek
Elife 3, e04333, 2014
2522014
How the turtle forms its shell: a paracrine hypothesis of carapace formation
J Cebra‐Thomas, F Tan, S Sistla, E Estes, G Bender, C Kim, P Riccio, ...
Journal of Experimental Zoology Part B: Molecular and Developmental …, 2005
1202005
Myb promotes centriole amplification and later steps of the multiciliogenesis program
FE Tan, EK Vladar, L Ma, LC Fuentealba, R Hoh, FH Espinoza, ...
Development 140 (20), 4277-4286, 2013
1092013
Development and validation of a deep learning algorithm for Gleason grading of prostate cancer from biopsy specimens
K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ...
JAMA oncology 6 (9), 1372-1380, 2020
682020
Interpretable survival prediction for colorectal cancer using deep learning
E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, F Tan, ...
NPJ digital medicine 4 (1), 1-13, 2021
332021
Evaluation of the use of combined artificial intelligence and pathologist assessment to review and grade prostate biopsies
DF Steiner, K Nagpal, R Sayres, DJ Foote, BD Wedin, A Pearce, CJ Cai, ...
JAMA network open 3 (11), e2023267-e2023267, 2020
292020
Determining breast cancer biomarker status and associated morphological features using deep learning
P Gamble, R Jaroensri, H Wang, F Tan, M Moran, T Brown, ...
Communications Medicine 1 (1), 1-12, 2021
24*2021
Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ...
NPJ digital medicine 2 (1), 1-1, 2019
192019
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ...
Communications Medicine 1 (1), 1-8, 2021
152021
Multimodal multitask representation learning for pathology biobank metadata prediction
WH Weng, Y Cai, A Lin, F Tan, PHC Chen
arXiv preprint arXiv:1909.07846, 2019
102019
Registered report: androgen receptor splice variants determine taxane sensitivity in prostate cancer
X Shan, G Danet-Desnoyers, JJ Fung, AH Kosaka, F Tan, N Perfito, ...
PeerJ 3, e1232, 2015
92015
Registered report: Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion
D Blum, S LaBarge
Elife 3, e04034, 2014
92014
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. NPJ Digit Med. 2019
K Nagpal, D Foote, Y Liu, PH Chen, E Wulczyn, F Tan
9
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images
A Sadhwani, HW Chang, A Behrooz, T Brown, I Auvigne-Flament, H Patel, ...
Scientific reports 11 (1), 1-11, 2021
72021
Registered report: Melanoma genome sequencing reveals frequent PREX2 mutations
D Chroscinski, D Sampey, A Hewitt
Elife 3, e04180, 2014
52014
Registered report: Widespread potential for growth factor-driven resistance to anticancer kinase inhibitors
E Greenfield, E Griner
Elife 3, e04037, 2014
32014
Registered report: the androgen receptor induces a distinct transcriptional program in castration-resistant prostate cancer in man
D Chronscinski, S Cherukeri, F Tan, N Perfito, J Lomax, E Iorns
PeerJ 3, e1231, 2015
22015
AI-based Gleason Grading for Stratification of Prostate Cancer Outcomes
E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ...
2021
An AI system for predicting ER/PGR/HER2 status from H&E slides in breast cancer
P Gamble, R Jaroensri, F Tan, M Moran, DF Steiner, CH Mermel, ...
VIRCHOWS ARCHIV 477, S37-S37, 2020
2020
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