Plis, S.M.[Sergey M.]
* 2008: Sparse shift-invariant NMF
* 2014: Multidataset independent subspace analysis extends independent vector analysis
* 2016: Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia
* 2016: Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach
* 2021: Multidataset Independent Subspace Analysis With Application to Multimodal Fusion
* 2022: Deep Learning in Neuroimaging: Promises and challenges
Includes: Plis, S.M.[Sergey M.] Plis, S.M.
Plishker, W.[William]
* 2008: Model-based mapping of a nonrigid image registration algorithm to heterogeneous architectures
* 2008: Model-based mapping of reconfigurable image registration on FPGA platforms
* 2009: Exploring the Concurrency of an MPEG RVC Decoder Based on Dataflow Program Analysis
* 2010: Utilizing Hierarchical Multiprocessing for Medical Image Registration
* 2011: Modeling and optimization of dynamic signal processing in resource-aware sensor networks
* 2012: Design and Synthesis for Multimedia Systems Using the Targeted Dataflow Interchange Format
Includes: Plishker, W.[William] Plishker, W.
Plissiti, M.E.[Marina E.]
* 2011: Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images
* 2012: Cervical Cell Classification Based Exclusively on Nucleus Features
* 2012: Overlapping Cell Nuclei Segmentation Using a Spatially Adaptive Active Physical Model
* 2015: Segmentation of cell clusters in Pap smear images using intensity variation between superpixels
* 2018: Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images
* 2023: Spatial Transformer Generative Adversarial Network for Image Super-resolution
Includes: Plissiti, M.E.[Marina E.] Plissiti, M.E.