Utilizing transformers on OCT imagery and metadata for treatment response prediction in macular edema patients. Lecture Notes in Computer Science, 3--15, Springer Nature Switzerland, Cham, 2023. [PUMA: OCT Xack edema macular prediction response topic_lifescience transformers treatment]
Network shape intelligence outperforms AlphaFold2 intelligence in vanilla protein interaction prediction. bioRxiv, August 2023. [PUMA: AlphaFold2 Xack intelligence interaction prediction protein vanilla]
Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 37-41, 2023. [PUMA: Complexity Computational Consciousness Information Learning Locked-In Machine Measures Modeling Neuroscience Prediction Predictive Processing Signal Syndrome Theory Training Zno algorithms and data learning modeling models processing]
Accuracy of RNA Structure Prediction Depends on the Pseudoknot Grammar. Advances in Bioinformatics and Computational Biology, 20–31, Springer Nature Switzerland, 2022. [PUMA: DependsPseudoknot Grammar Prediction RNA Structure] URL
Performance Estimation and Prototyping of Reconfigurable Near-Memory Computing Systems. In Nele Mentens, Nele Mentens, Leonel Sousa, Pedro Trancoso, Nikela Papadopoulou, and Ioannis Sourdis (Eds.), Proceedings - 2023 33rd International Conference on Field-Programmable Logic and Applications, FPL 2023, 357--358, Institute of Electrical and Electronics Engineers Inc., United States of America, Nov 2, 2023. [PUMA: topic_federatedlearn Architectures, Computing, FIS_scads High Near Parallel Prediction bandwidth memories, memory] URL
Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms. Proceedings - 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, 222, Institute of Electrical and Electronics Engineers Inc., United States of America, 2023. [PUMA: topic_federatedlearn FIS_scads High-bandwidth architectures, characterization, computing, memory, near-memory parallel prediction] URL
Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection. Worldwide Congress on “Genetics, Geriatrics and Neurodegenerative Diseases Research", 223--230, 2022. [PUMA: topic_neuroinspired Disease Feature Graph-Based Impact Investigating Neuroimaging Prediction Selection learning]
Destination Prediction Based on Partial Trajectory Data. 2020. [PUMA: Based Data Destination Partial Prediction Trajectory on] URL
PredicTF: prediction of bacterial transcription factors in complex microbial communities using deep learning. Environmental Microbiome, (17)December 2022. [PUMA: PredicTF: bacterial complex learning microbialdeep prediction transcription]
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: topic_lifescience AI; LNM adipose and artificial biomarker; bowel cancer; colorectal deep digital early inflamed intelligence; learning; metastasis; new pT1 pT2 pathology; prediction predictive tissue;]
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: topic_lifescience AI, Artificial 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; transarterial whole]
Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. J. Med. Imaging (Bellingham), (10)4:044502, SPIE-Intl Soc Optical Eng, July 2023. [PUMA: topic_visualcomputing graph imaging; learning; machine medical multi-modal networks; neural prediction stroke]
Sparse pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction. J. Biomol. NMR, (77)3:69--82, June 2023. [PUMA: topic_lifescience (IMPs); (PCSs); (ncAAs); Click Integral Non-canonical Pseudocontact Rosetta; Structure acids amino chemistry; membrane prediction proteins shifts]