Network shape intelligence outperforms AlphaFold2 intelligence in vanilla protein interaction prediction. bioRxiv, August 2023. [PUMA: AlphaFold2 intelligence interaction prediction protein vanilla xack]
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. NPJ Digit. Med., (7)1:76, March 2024. [PUMA: ai artificial clinical generative intelligence leukemia myeloid synthetic trials yaff]
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Democratising Artificial Intelligence for Pandemic Preparedness and Global Governance in Latin American and Caribbean Countries. arXiv, 2024. [PUMA: Computer FOS Intelligence and information sciences zno artificial] URL
NFDI4DS Transfer and Application. Gesellschaft für Informatik e.V., 2023. [PUMA: Infrastructures Intelligence NFDI NFDI4DS Research Science zno artificial data] URL
Advances in Computational Collective Intelligence: 16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024, Proceedings, Part II. (2166)Springer Nature, 2024. [PUMA: 2024 Collective Computational ICCCI Intelligence Leipzig nopdf]
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs. 2024. [PUMA: ANN Intelligence; Pragmatist Usefulness; topic_mathfoundation yaff intelligence] URL
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology, (80)7:1121--1127, Wiley, June 2022. [PUMA: artificial digital intelligence pathology survey topic_lifescience 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, March 2022. [PUMA: Bladder FGFR3 Molecular cancer factor fibroblast for growth intelligence learning mutations receptor testing therapy topic_lifescience zno artificial deep]
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]
Artificial intelligence to identify genetic alterations in conventional histopathology. J. Pathol., (257)4:430--444, Wiley, July 2022. [PUMA: artificial image oncology precision topic_lifescience zno intelligence biomarker analysis]
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]
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Med. Image Anal., (79)102474:102474, Elsevier BV, July 2022. [PUMA: Computational Convolutional Learning; Multiple-Instance Vision Weakly-supervised deep learning neural topic_lifescience transformers; zno artificial intelligence pathology networks]
Explainable artificial intelligence in skin cancer recognition: A systematic review. Eur. J. Cancer, (167):54--69, Elsevier BV, May 2022. [PUMA: Dermatology; Man-machine Skin Systematic neoplasms; review systems; topic_lifescience zno artificial intelligence]
Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J. Hepatol., (77)1:116--127, Elsevier BV, July 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]