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An ensemble approach for histopathological classification of vulvar cancer. In John E Tomaszewski, and Aaron D Ward (Eds.), Medical Imaging 2023: Digital and Computational Pathology, 40, SPIE, April 2023. [PUMA: approach cancer classification ensemble histopathological nopdf vulvar]
Secondary Treatment for Men with Localized Prostate Cancer: A Pooled Analysis of PRIAS and ERSPC-Rotterdam Data within the PIONEER Data Platform. Journal of Personalized Medicine, (12)5:751, MDPI AG, May 2022. [PUMA: Cancer ERSPC-Rotterdam Localized Men PIONEER PRIAS Prostate Secondary Treatment zno] URL
Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications. Cancers, (16)3:639, MDPI AG, February 2024. [PUMA: AI Applications Cancer Cohort Generation Laryngeal Realistic Synthetic zno] URL
A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer. Molecular Medicine, (30)1Springer Science and Business Media LLC, February 2024. [PUMA: applicable biopsies cancer formalin-fixed paraffin-embedded predictionprostate risk-score transcriptomic yaff] URL
An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: AI Cancer Digital Histopatholog Open-Source Prostate nopdf]
Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, May 2021. [PUMA: association cancer chronic deep learning pancreatic pancreatitis study topic_lifescience transcriptome-wide zno]
Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review. Eur. J. Cancer, (160):80--91, Elsevier BV, January 2022. [PUMA: Biomarker Cancer Convolutional Multimodal Omics fusion identification networks neural topic_lifescience zno]
Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?. Eur. Urol. Focus, (8)2:472--479, Elsevier BV, March 2022. [PUMA: Bladder FGFR3 Molecular cancer factor fibroblast for growth intelligence learning mutations receptor testing therapy topic_lifescience zno artificial deep]
Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer. J. Pathol., (256)3:269--281, Wiley, March 2022. [PUMA: AI; LNM adipose and artificial bowel colorectal deep digital early inflamed metastasis; new pT1 pT2 prediction predictive tissue; topic_lifescience zno learning intelligence pathology biomarker cancer]
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. J. Pathol., (256)1:50--60, Wiley, January 2022. [PUMA: Lynch artificial colorectal computational deep digital instability microsatellite syndrome; topic_lifescience zno learning intelligence pathology cancer]
Nestin as a diagnostic and prognostic marker for combined hepatocellular-cholangiocarcinoma. J. Hepatol., (77)6:1586--1597, Elsevier BV, December 2022. [PUMA: carcinoma; cholangiocarcinoma; combined hepatocellular hepatocellular-cholangiocarcinoma; liver; nestin topic_lifescience zno cancer]
Predicting mutational status of driver and suppressor genes directly from histopathology with Deep Learning: A systematic study across 23 solid tumor types. Front. Genet., (12):806386, 2021. [PUMA: (AI); TCGA; artificail cancer deep genes; genetic intelligence pathway pathway; zno learning]
ProstaTrend-A multivariable prognostic RNA expression score for aggressive prostate cancer. Eur. Urol., (78)3:452--459, Elsevier BV, September 2020. [PUMA: Biomarker; Molecular Next-generation Personalized Prostate Transcriptome diagnostic medicine; sequencing; testing; zno pathology biomarker cancer]
Impact of pre- and post-processing steps for supervised classification of colorectal cancer in hyperspectral images. Cancers (Basel), (15)7April 2023. [PUMA: cancer classification colorectal convolutional filter hyperspectral imaging learning machine median networks post-processing pre-processing topic_lifescience yaff]