Aggelos K. Katsaggelos - researchr alias

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Viewing Publication 1 - 100 from 689

2026

Probabilistic smooth attention for deep multiple instance learning in medical imagingFrancisco M. Castro-Macías, Pablo Morales Álvarez, Yunan Wu, Rafael Molina 0001, Aggelos K. Katsaggelos. PR, 171:112097, 2026. [doi]

2025

Automatic Camera Movement Generation With Enhanced Immersion for Virtual CinematographyXinyi Wu 0001, Haohong Wang, Aggelos K. Katsaggelos. tmm, 27:5241-5254, 2025. [doi]

Spatially-Aware Loss Functions for GAN-Driven Super-ResolutionXijun Wang 0003, Santiago López-Tapia, Xinyi Wu 0001, Rafael Molina 0001, Aggelos K. Katsaggelos. access, 13:108561-108572, 2025. [doi]

Rethinking Video Generation: Overcoming the Limits of Pretrained ModelsUgur Demir, Charlotte Lynn Chen, Anthony Zhao, Nicholas X. Wang, Michelle Wang, Derek Li, Aggelos K. Katsaggelos. iccnc 2025: 617-621 [doi]

Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract)Glenn Fernandes, Meixi Lu, Farzad Shahabi, Jiayi Zheng, Aggelos K. Katsaggelos, Nabil Alshurafa. AAAI 2025: 29368-29370 [doi]

Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature ExtractorJiaqi Guo, Yunnan Wu, Evangelos Kaimakamis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras, Aggelos K. Katsaggelos. isbi 2025: 1-5 [doi]

Computationally Efficient Implicit Training Strategy for Unrolled Networks (IMUNNE): A Preliminary Analysis Using Accelerated Real-Time Cardiac Cine MRINikolay Iakovlev, Florian Schiffers, Santiago Lopez Tapia, Daming Shen, Kyungpyo Hong, Michael Markl, Daniel C. Lee 0002, Aggelos K. Katsaggelos, Daniel Kim. tbe, 72(1):187-197, January 2025. [doi]

When Event-Based Shape from Polarization Meets Spiking Neural NetworksPeng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt. ieeecai 2025: 767-770 [doi]

Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep LearningHui Lin, Jiyang Li, Ramy Hussein, Xin Sui, Xiaoyu Li, Guangpu Zhu, Aggelos K. Katsaggelos, Zijing Zeng, Yelei Li. icassp 2025: 1-5 [doi]

Novel Self-Calibrated Threshold-Free Probabilistic Fibrosis Signature Technique for 3D Late Gadolinium Enhancement MRIMehri Mehrnia, Eugene G. Kholmovski, Aggelos K. Katsaggelos, Daniel Kim 0002, Rod S. Passman, Mohammed S. M. ElBaz. tbe, 72(3):856-869, March 2025. [doi]

Enhanced heart failure mortality prediction through model-independent hybrid feature selection and explainable machine learningGeorgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, Dimitrios Tachmatzidis, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras. jbi, 163:104800, 2025. [doi]

Discrete, recurrent, and scalable patterns in non-operant judgement underlie affective picture ratingsLeandros Stefanopoulos, Byoung-Woo Kim, John Sheppard 0003, Emanuel A. Azcona, Nicole L. Vike, Sumra Bari, Shamal Lalvani, Sean Woodward, Nicos Maglaveras, Martin Block, Aggelos K. Katsaggelos, Hans C. Breiter. cp, 26(2):257-281, May 2025. [doi]

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance LearningFrancisco Javier Sáez-Maldonado, Luz García 0001, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina 0001, Aggelos K. Katsaggelos. access, 13:133351-133369, 2025. [doi]

LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed SensingShuowen Yang, Fernando Pérez-Bueno, Hanlin Qin, Rafael Molina 0001, Aggelos K. Katsaggelos. tmm, 27:6422-6433, 2025. [doi]

2024

Avian Activity Classification Using Recurrent Networks to Fuse Videos with Metadata on Imbalanced DatasetsXijun Wang 0003, Adam Szymanski, Yuki Hamada, Aggelos K. Katsaggelos. iccai 2024: 260-265 [doi]

Real-World Atmospheric Turbulence Correction Via Domain AdaptationXijun Wang 0003, Santiago López-Tapia, Aggelos K. Katsaggelos. icip 2024: 1466-1472 [doi]

CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder RefinementYijie Li 0003, Hewei Wang 0001, Aggelos K. Katsaggelos. bmvc 2024: [doi]

Focused active learning for histopathological image classificationArne Schmidt 0005, Pablo Morales Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina 0001, Aggelos K. Katsaggelos. mia, 95:103162, 2024. [doi]

Identifying Defects without a priori Knowledge in a Room-Temperature Semiconductor Detector Using Physics Inspired Machine Learning ModelSrutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander Hans Vija, Aggelos K. Katsaggelos. sensors, 24(1):92, 2024. [doi]

A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication ChannelSrutarshi Banerjee, Henry H. Chopp, Jianping Zhang, Zihao W. Wang, Peng Kang, Oliver Cossairt, Aggelos K. Katsaggelos. tnn, 35(5):7216-7230, May 2024. [doi]

Sm: enhanced localization in Multiple Instance Learning for medical imaging classificationFrancisco M. Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina 0001, Aggelos K. Katsaggelos. nips 2024: [doi]

Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant PriorFrancisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. isbi 2024: 1-5 [doi]

Bayesian Blind Image Deconvolution using an Hyperbolic-Secant priorFrancisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. icip 2024: 1500-1506 [doi]

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detectionFrancisco M. Castro-Macías, Pablo Morales Álvarez, Yunan Wu, Rafael Molina 0001, Aggelos K. Katsaggelos. ai, 331:104115, 2024. [doi]

Explainable Transformer Prototypes for Medical DiagnosesUgur Demir, Debesh Jha, Zheyuan Zhang, Elif Keles, Bradley D. Allen, Aggelos K. Katsaggelos, Ulas Bagci. isbi 2024: 1-5 [doi]

HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth ApplicationsGlenn Fernandes, Jiayi Zheng, Mahdi Pedram, Christopher Romano, Farzad Shahabi, Blaine Rothrock, Thomas Cohen, Helen Zhu, Tanmeet S. Butani, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa. imwut, 8(3), August 2024. [doi]

Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave GlitchesYi Li, Yunan Wu, Aggelos K. Katsaggelos. cvpr 2024: 6837-6846 [doi]

GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology SegmentationHui Lin, Neda Tavakoli, Florian Schiffers, Santiago López-Tapia, Daniel Kim 0002, Aggelos K. Katsaggelos. miccai 2025: 227-239 [doi]

Brighteye: Glaucoma Screening with Color Fundus Photographs Based on Vision TransformerHui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos. isbi 2024: 1-4 [doi]

DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation LearningHui Lin, Florian Schiffers, Santiago López-Tapia, Neda Tavakoli, Daniel Kim 0002, Aggelos K. Katsaggelos. miccai 2026: 178-194 [doi]

Learning from crowds for automated histopathological image segmentationMiguel López-Pérez, Pablo Morales Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina 0001, Aggelos K. Katsaggelos. cmig, 112:102327, 2024. [doi]

Video Variational Deep Atmospheric Turbulence CorrectionSantiago López-Tapia, Xijun Wang 0003, Aggelos K. Katsaggelos. access, 12:127368-127379, 2024. [doi]

Variable Splitting and Fusing for Image Phase RetrievalPetros Nyfantis, Pablo Ruiz Matarán, Hector E. Nistazakis, George S. Tombras, Aggelos K. Katsaggelos. jimaging, 10(10):249, 2024. [doi]

Recent advancements and applications of deep learning in heart failure: Α systematic reviewGeorgios Petmezas, Vasileios E. Papageorgiou, Vassilios Vassilikos, Efstathios Pagourelias, George Tsaklidis, Aggelos K. Katsaggelos, Nicos Maglaveras. cbm, 176:108557, 2024. [doi]

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detectionJose Pérez-Cano, Yunan Wu, Arne Schmidt 0005, Miguel López-Pérez, Pablo Morales Álvarez, Rafael Molina 0001, Aggelos K. Katsaggelos. eswa, 240:122296, 2024. [doi]

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parametersYunan Wu, Bruno Miguel Machado Rocha, Evangelos Kaimakamis, Grigorios-Aris Cheimariotis, Georgios Petmezas, Evangelos Chatzis, Vassilis Kilintzis, Leandros Stefanopoulos, Diogo Pessoa, Alda Marques, Paulo Carvalho 0001, Rui Pedro Paiva, Serafeim Kotoulas, Militsa Bitzani, Aggelos K. Katsaggelos, Nicos Maglaveras. eswa, 235:121089, January 2024. [doi]

Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual ConstraintXinyi Wu, Santiago López-Tapia, Xijun Wang 0003, Rafael Molina 0001, Aggelos K. Katsaggelos. tcsv, 34(10):10310-10325, October 2024. [doi]

BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolutionShuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina 0001, Aggelos K. Katsaggelos. dsp, 145:104318, 2024. [doi]

Automated Adaptive Cinematography for User Interaction in Open WorldZixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren 0001. tmm, 26:6178-6190, 2024. [doi]

2023

Probabilistic fusion of crowds and experts for the search of gravitational wavesPablo Ruiz 0002, Pablo Morales Álvarez, Scott Coughlin, Rafael Molina 0001, Aggelos K. Katsaggelos. kbs, 261:110183, 2023. [doi]

Thermal Spread Functions (TSF): Physics-Guided Material ClassificationAniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos K. Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt. cvpr 2023: 1641-1650 [doi]

Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable MeshesJiaqi Guo, Emanuel A. Azcona, Santiago Lopez Tapia, Aggelos K. Katsaggelos. midl 2023: 888-904 [doi]

Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object RecognitionPeng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt. icip 2023: 950-954 [doi]

Control of a Water Tank System with Value Function ApproximationShamal Lalvani, Aggelos K. Katsaggelos. ifip12 2023: 36-44 [doi]

Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRIHui Lin, Santiago Lopez Tapia, Florian Schiffers, Yunan Wu, Huili Yang, Nikolay Iakovlev, Bradley D. Allen, Ryan Avery, Daniel C. Lee, Daniel Kim, Aggelos K. Katsaggelos. eusipco 2023: 995-999 [doi]

Reinforcement Learning for Adaptive Video Compressive SensingSidi Lu, Xin Yuan 0002, Aggelos K. Katsaggelos, Weisong Shi. tist, 14(5), October 2023. [doi]

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical StudentsMiguel López-Pérez, Pablo Morales Álvarez, Lee A. D. Cooper, Rafael Molina 0001, Aggelos K. Katsaggelos. aime 2023: 245-249 [doi]

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue ClassificationMiguel López-Pérez, Pablo Morales Álvarez, Lee A. D. Cooper, Rafael Molina 0001, Aggelos K. Katsaggelos. access, 11:6922-6934, 2023. [doi]

Variational Deep Atmospheric Turbulence Correction for VideoSantiago López-Tapia, Xijun Wang 0003, Aggelos K. Katsaggelos. icip 2023: 3568-3572 [doi]

Deep Robust Image Restoration Using the Moore-Penrose Blur InverseSantiago López-Tapia, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. icip 2023: 775-779 [doi]

Learning Moore-Penrose based residuals for robust non-blind image deconvolutionSantiago López-Tapia, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. dsp, 142:104193, October 2023. [doi]

Detecting Eating and Social Presence with All Day Wearable RGB-TSoroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa. chase 2023: 68-79 [doi]

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View VideosJennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona. cvpr 2023: 9001-9010 [doi]

Atmospheric Turbulence Correction via Variational Deep DiffusionXijun Wang, Santiago Lomicronpez-Tapia, Aggelos K. Katsaggelos. miproBIS 2023: 1-4 [doi]

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage DetectionYunan Wu, Francisco M. Castro-Macías, Pablo Morales Álvarez, Rafael Molina 0001, Aggelos K. Katsaggelos. miccai 2023: 327-337 [doi]

Deep Bayesian Blind Color Deconvolution of Histological ImagesShuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina 0001, Aggelos K. Katsaggelos. icip 2023: 710-714 [doi]

A Novel Automatic Content Generation and Optimization FrameworkZixiao Yu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren 0001. iotj, 10(14):12338-12351, July 2023. [doi]

Adaptive Auto-Cinematography in Open WorldsZixiao Yu, Xinyi Wu, Haohong Wang, Aggelos K. Katsaggelos, Jian Ren 0001. miproBIS 2023: 1-6 [doi]

2022

Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional SensingXin Yuan 0002, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues 0001, Aggelos K. Katsaggelos. jstsp, 16(4):603-607, 2022. [doi]

Detecting Screen Presence with Activity-Oriented RGB Camera in Egocentric VideosAmit Adate, Soroush Shahi, Rawan Alharbi, Sougata Sen, Yang Gao, Aggelos K. Katsaggelos, Nabil Alshurafa. percom 2022: 403-408 [doi]

SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient ThermalRawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen, Mahdi Pedram, Christopher Romano, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa. imwut, 6(4), 2022. [doi]

Towards Building a Distributed Virtual Flow Meter via Compressed Continual LearningHasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K. Katsaggelos. sensors, 22(24):9878, 2022. [doi]

Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling ApproximationQiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K. Katsaggelos. tci, 8:224-235, 2022. [doi]

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)Amil Dravid, Aggelos K. Katsaggelos. AAAI 2022: 12939-12940 [doi]

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent SpaceAmil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos. cvpr 2022: 2935-2944 [doi]

Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data RegimesAmil Dravid, Florian Schiffers, Yunan Wu, Oliver Cossairt, Aggelos K. Katsaggelos. icassp 2022: 3318-3322 [doi]

Guided Event Filtering: Synergy Between Intensity Images and Neuromorphic Events for High Performance ImagingPeiqi Duan, Zihao W. Wang, Boxin Shi, Oliver Cossairt, Tie-Jun Huang 0001, Aggelos K. Katsaggelos. pami, 44(11):8261-8275, 2022. [doi]

Event - Driven Tactile Learning with Location Spiking NeuronsPeng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt. ijcnn 2022: 1-9 [doi]

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detectionMiguel López-Pérez, Arne Schmidt 0005, Yunan Wu, Rafael Molina 0001, Aggelos K. Katsaggelos. cmpb, 219:106783, 2022. [doi]

Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss FunctionGeorgios Petmezas, Grigorios-Aris Cheimariotis, Leandros Stefanopoulos, Bruno Miguel Machado Rocha, Rui Pedro Paiva, Aggelos K. Katsaggelos, Nicos Maglaveras. sensors, 22(3):1232, 2022. [doi]

Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classificationFernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. cmig, 97:102048, 2022. [doi]

Impacts of Image Obfuscation on Fine-grained Activity Recognition in Egocentric VideoSoroush Shahi, Rawan Alharbi, Yang Gao, Sougata Sen, Aggelos K. Katsaggelos, Josiah D. Hester, Nabil Alshurafa. percom 2022: 341-346 [doi]

Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect EpilepsyYunan Wu, Pierre Besson, Emanuel A. Azcona, S. Kathleen Bandt, Todd B. Parrish, Aggelos K. Katsaggelos. isbi 2022: 1-5 [doi]

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGOPablo Morales Álvarez, Pablo Ruiz 0002, Scott Coughlin, Rafael Molina 0001, Aggelos K. Katsaggelos. pami, 44(3):1534-1551, 2022. [doi]

2021

Snapshot Compressive Imaging: Theory, Algorithms, and ApplicationsXin Yuan 0002, David J. Brady, Aggelos K. Katsaggelos. spm, 38(2):65-88, 2021. [doi]

Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk SamplingSrutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos K. Katsaggelos. icip 2021: 2154-2158 [doi]

Geometric deep learning on brain shape predicts sex and agePierre Besson, Todd B. Parrish, Aggelos K. Katsaggelos, S. Kathleen Bandt. cmig, 91:101939, 2021. [doi]

A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of ArtLionel Fiske, Aggelos K. Katsaggelos, M. C. G. Aalders, M. Alfeld, M. Walton, Oliver Cossairt. icip 2021: 3458-3462 [doi]

Human Vision-Like Robust Object RecognitionPeng Kang, Hao Hu, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt. icip 2021: 709-713 [doi]

Machine learning with high-resolution aerial imagery and data fusion to improve and automate the detection of wetlandsSantiago López-Tapia, Pablo Ruiz 0002, Mitchell Smith, Jeffrey Matthews, Bradley Zercher, Liliana Sydorenko, Neelanshi Varia, Yuanzhe Jin, Minzi Wang, Jennifer B. Dunn, Aggelos K. Katsaggelos. aeog, 105:102581, 2021. [doi]

Deep learning approaches to inverse problems in imaging: Past, present and futureSantiago López-Tapia, Rafael Molina 0001, Aggelos K. Katsaggelos. dsp, 119:103285, 2021. [doi]

Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity DevicesMerlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt. acssc 2021: 873-875 [doi]

Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and DocumentationMerlin A. Nau, Florian Schiffers, Yunhao Li, Bingjie Xu, Andreas K. Maier, Jack Tumblin, Marc Walton, Aggelos K. Katsaggelos, Florian Willomitzer, Oliver Cossairt. icip 2021: 2918-2922 [doi]

Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG DatasetsGeorgios Petmezas, Kostas Haris, Leandros Stefanopoulos, Vassilis Kilintzis, Andreas Tzavelis, John A. Rogers, Aggelos K. Katsaggelos, Nicos Maglaveras. bspc, 63:102194, 2021. [doi]

Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inferenceFernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina 0001, Aggelos K. Katsaggelos. cmpb, 211:106453, 2021. [doi]

Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and RegularizationPrasan Shedligeri, Florian Schiffers, Semih Barutcu, Pablo Ruiz 0002, Aggelos K. Katsaggelos, Oliver Cossairt. icip 2021: 2968-2972 [doi]

Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage DetectionYunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina 0001, Aggelos K. Katsaggelos. miccai 2021: 582-591 [doi]

2020

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated MeshesEmanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos. miccai 2020: 95-107 [doi]

Knowledge Tracing to Model Learning in Online Citizen Science ProjectsKevin Crowston, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin, Carsten S. Østerlund, Tae Kyoung Lee, Corey Brian Jackson, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scott Coughlin, Aggelos K. Katsaggelos. tlt, 13(1):123-134, 2020. [doi]

Variational Bayesian Blind Color Deconvolution of Histopathological ImagesNatalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina 0001, Aggelos K. Katsaggelos. TIP, 29:2026-2036, 2020. [doi]

DeepBinaryMask: Learning a binary mask for video compressive sensingMichael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos. dsp, 96, 2020. [doi]

Teaching citizen scientists to categorize glitches using machine learning guided trainingCorey Brian Jackson, Carsten S. Østerlund, Kevin Crowston, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scotty Coughlin, Vicky Kalogera, Aggelos K. Katsaggelos, Shane Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin. chb, 105:106198, 2020. [doi]

Gated Recurrent Networks for Video Super ResolutionSantiago López-Tapia, Alice Lucas, Rafael Molina 0001, Aggelos K. Katsaggelos. eusipco 2020: 700-704 [doi]

A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation modelsSantiago López-Tapia, Alice Lucas, Rafael Molina 0001, Aggelos K. Katsaggelos. dsp, 104:102801, 2020. [doi]

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image PriorsFernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina 0001, Aggelos K. Katsaggelos. sensors, 20(18):5308, 2020. [doi]

A TV-based image processing framework for blind color deconvolution and classification of histological imagesFernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina 0001, Aggelos K. Katsaggelos. dsp, 101:102727, 2020. [doi]

Super Gaussian Priors for Blind Color Deconvolution of Histological ImagesFernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina 0001, Aggelos K. Katsaggelos. icip 2020: 3010-3014 [doi]

Temporal capsule networks for video motion estimation and error concealmentArun Sankisa, Arjun Punjabi, Aggelos K. Katsaggelos. sivp, 14(7):1369-1377, 2020. [doi]

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