BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, (21)1:410–421, Informa UK Limited, März 2024. [PUMA: BioDeepfuse RNA classification deep extraction feature learning non-coding zno] URL
Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning. Artificial Intelligence for the Earth Systems, (2)4American Meteorological Society, Oktober 2023. [PUMA: Extreme Mediterranean Spatiotemporal Statistical Trends Wildfires zno learning deep] URL
Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, Mai 2021. [PUMA: association cancer chronic deep learning pancreatic pancreatitis study topic_lifescience transcriptome-wide zno]
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: AI CNN Communications DICOM Diagnosis Digital HCC Imaging Individual ML MVI Medicine NAFLD NASH Prognosis Reporting TACE TRIPOD Transparent WSIs a and artificial carcinoma chemoembolisation convolutional data deep diagnostic disease fatty for hepatocellular images imaging in integration intelligence invasion learning liver machine microvascular model multimodal multivariable network neural non-alcoholic of or prediction slide steatohepatitis support system topic_lifescience transarterial whole 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, März 2022. [PUMA: Bladder FGFR3 Molecular cancer factor fibroblast for growth intelligence learning mutations receptor testing therapy topic_lifescience zno artificial deep]
Automatic lung segmentation and quantification of aeration in computed tomography of the chest using 3D transfer learning. Front. Physiol., (12):725865, 2021. [PUMA: ARDS COVID-19 Jaccard deep index learning lung recruitment segmentation transfer uNet zno]
Model soups improve performance of dermoscopic skin cancer classifiers. Eur. J. Cancer, (173):307--316, Elsevier BV, September 2022. [PUMA: Calibration Dermatology Ensembles Generalisation Melanoma Model Nevus Robustness intelligence learning soups 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, März 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, Januar 2022. [PUMA: Lynch artificial colorectal computational deep digital instability microsatellite syndrome; topic_lifescience zno learning intelligence pathology cancer]
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Med. Image Anal., (79)102474:102474, Elsevier BV, Juli 2022. [PUMA: Computational Convolutional Learning; Multiple-Instance Vision Weakly-supervised deep learning neural topic_lifescience transformers; zno artificial intelligence pathology networks]
Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J. Hepatol., (77)1:116--127, Elsevier BV, Juli 2022. [PUMA: artificial deep gene image immune signatures; slide topic_lifescience whole zno learning intelligence pathology]
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]