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2020 – today
- 2024
[j48]Theodoros Tsourdinis, Ilias Chatzistefanidis, Nikos Makris
, Thanasis Korakis, Navid Nikaein, Serge Fdida:
Service-aware real-time slicing for virtualized beyond 5G networks. Comput. Networks 247: 110445 (2024)- [j47]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. 94: 103120 (2024) - [c81]Sokratis Christakis, Nikos Makris, Thanasis Korakis, Serge Fdida:
On the Automated Scaling of User Plane Function for 5G: An Experimental Evaluation. EuCNC/6G Summit 2024: 979-984 - [c80]Sokratis Christakis, Theodoros Tsourdinis, Nikos Makris, Thanasis Korakis, Serge Fdida:
Evaluation of User Plane Function Implementations in Real-World 5G Networks. INFOCOM (Workshops) 2024: 1-6 - [c79]Dimitris Kefalas, Nikos Makris, Thanasis Korakis, Serge Fdida:
Design, Integration and Slicing of non-3GPP DUs in 5G Networks: a Hybrid 5G-DU Approach. INFOCOM (Workshops) 2024: 1-6 - [c78]Damien Saucez, Sebastian Gallenmüller, Raymond Knopp, Nikos Makris, Serge Fdida:
Blueprint-based reproducible research with the SLICES Research Infrastructure. INFOCOM (Workshops) 2024: 1-2 - [c77]Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang:
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. ISBI 2024: 1-5 - [c76]Alexandra Karousou, Nikolaos Makris, Ilias T. Sarafis, Savvas A. Chatzichristofis, Angelos Amanatiadis:
Evaluating Student Acceptance and Engagement with a Humanoid Robot Tutor in a Formal Learning Environment. MED 2024: 394-399 - [c75]Dimitris Kefalas, Sokratis Christakis, Serge Fdida, Nikos Makris, Ilias Syrigos, Virgilios Passas, Thanasis Korakis:
slAIces: an LLM Chatbot for Simplifying Experiments with the SLICES-RI. IFIP Networking 2024: 660-665 - [c74]Konstantinos Christodoulopoulos, Nikolaos Makris, George T. Kanellos, Dimitris Syvridis:
Optimizing Key Consumption in Switched QKD Networks. OFC 2024: 1-3 - [c73]Nikos Makris, Argiris Ntanos, Alkinoos Papageorgopoulos, Aristeidis Stathis, Persefoni Konteli, Iliana Tsoni, Giannis Giannoulis, Fotini Setaki, Theofanis Stathopoulos, George L. Lyberopoulos, Hercules Avramopoulos, George T. Kanellos, Dimitris Syvridis:
O-band QKD link over a multiple ONT loaded carrier-grade GPON for FTTH applications. OFC 2024: 1-3 - [c72]Nikolaos Makris, Alkinoos Papageorgopoulos, Persefoni Konteli, Iliana Tsoni, Konstantinos Tsimvrakidis, Ilias Papastamatiou, Kostas Christodoulopoulos, George T. Kanellos, Dimitris Syvridis:
Relayed-QKD and switched-QKD networks performance comparison considering physical layer QKD limitations. OFC 2024: 1-3 - [i21]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR abs/2401.04579 (2024) - [i20]Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR abs/2403.19001 (2024) - [i19]Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR abs/2407.08883 (2024) - [i18]Ari Tchetchenian, Leo R. Zekelman, Yuqian Chen, Jarrett Rushmore, Fan Zhang, Edward H. Yeterian, Nikos Makris, Yogesh Rathi, Erik Meijering, Yang Song, Lauren J. O'Donnell:
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. CoRR abs/2407.15132 (2024) - [i17]Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Jarrett Rushmore, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. CoRR abs/2410.15108 (2024) - [i16]Yui Lo, Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo R. Zekelman, Fan Zhang, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. CoRR abs/2410.22099 (2024) - 2023
- [j46]Nikolaos Makris, Nikolaos Mitrou:
Multisubject Analysis and Classification of Books and Book Collections, Based on a Subject Term Vocabulary and the Latent Dirichlet Allocation. IEEE Access 11: 120881-120898 (2023) - [j45]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Medical Image Anal. 85: 102759 (2023) - [j44]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage 273: 120086 (2023) - [c71]Ilias Syrigos, Dimitris Kefalas, Nikos Makris, Thanasis Korakis:
EELAS: Energy Efficient and Latency Aware Scheduling of Cloud-Native ML Workloads. COMSNETS 2023: 819-824 - [c70]Lin Tian, Thomas Hastings Greer, François-Xavier Vialard, Roland Kwitt, Raúl San José Estépar, Richard Jarrett Rushmore, Nikolaos Makris, Sylvain Bouix, Marc Niethammer:
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency. CVPR 2023: 18084-18094 - [c69]Ilias Syrigos, Nikos Makris, Thanasis Korakis:
Multi-Cluster Orchestration of 5G Experimental Deployments in Kubernetes over High-Speed Fabric. GLOBECOM (Workshops) 2023: 1764-1769 - [c68]Ilias Chatzistefanidis, Nikos Makris, Virgilios Passas, Thanasis Korakis:
Which ML Model to Choose? Experimental Evaluation for a Beyond-5G Traffic Steering Case. ICC 2023: 5185-5190 - [c67]Alexandra Karousou, Nikolaos Makris, Ilias T. Sarafis, Savvas A. Chatzichristofis, Angelos Amanatiadis:
Gamification Techniques and Feedback Mechanisms for Educational Robots. ICCE-Berlin 2023: 53-56 - [c66]Maria-Evgenia Xezonaki, Nikos Psaromanolakis, Panteleimon-Konstantinos Chartsias, Konstantinos Stamatis, Dimitrios Kritharidis, Vasileios Theodorou, Christina Tanya Politi, Panagiotis Papaioannou, Christos Tranoris, Spyros G. Denazis, Ioanna Mesogiti, Eleni Theodoropoulou, Fotini Setaki, George L. Lyberopoulos, Nikos Makris, Paris Flegkas, Jesús Gutiérrez Terán, Markos Anastassopoulos, Anna Tzanakaki:
Media Services in Dense, Static and Mobile Environments Leveraging Edge Deployments. AIAI Workshops 2023: 66-76 - [c65]Ioanna Mesogiti, Eleni Theodoropoulou, Fotini Setaki, George L. Lyberopoulos, Konstantinos Stamatis, Panteleimon-Konstantinos Chartsias, Nikos Makris, Paris Flegkas, Jesús Gutiérrez, Christina Tanya Politi, Christos Tranoris, Markos P. Anastasopoulos, Anna Tzanakaki:
Techno-economic Analysis Highlighting Aspects of 5G Network Deployments at Railway Environments. AIAI Workshops 2023: 139-150 - [c64]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI 2023: 1-5 - [c63]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. ISBI 2023: 1-5 - [c62]Xiao Xu, Yuqian Chen, Leo R. Zekelman, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. ISBI 2023: 1-4 - [c61]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI 2023: 165-176 - [c60]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) 2023: 409-419 - [c59]Theodoros Tsourdinis, Nikos Makris, Serge Fdida, Thanasis Korakis:
DRL-based Service Migration for MEC Cloud-Native 5G and beyond Networks. NetSoft 2023: 62-70 - [c58]Ilias Chatzistefanidis, Nikos Makris, Virgilios Passas, Thanasis Korakis:
ML-based Traffic Steering for Heterogeneous Ultra-dense beyond-5G Networks. WCNC 2023: 1-6 - [i15]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR abs/2301.01911 (2023) - [i14]Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR abs/2303.09124 (2023) - [i13]Jianzhong He, Fan Zhang, Yiang Pan, Yuanjing Feng, Jarrett Rushmore, Erickson Torio, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J. Golby, Lauren J. O'Donnell:
Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. CoRR abs/2306.05623 (2023) - [i12]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR abs/2307.03982 (2023) - [i11]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR abs/2307.09000 (2023) - 2022
- [j43]Virgilios Passas, Nikos Makris, Yue Wang, Apostolos Apostolaras, Asterios Mpatziakas, Anastasios Drosou, Thanasis Korakis, Dimitrios Tzovaras:
Artificial Intelligence for network function autoscaling in a cloud-native 5G network. Comput. Electr. Eng. 103: 108327 (2022) - [j42]Serge Fdida, Nikos Makris, Thanasis Korakis, Raffaele Bruno, Andrea Passarella, Panayiotis Andreou, Bartosz Belter, Cedric Crettaz, Walid Dabbous, Yuri Demchenko, Raymond Knopp:
SLICES, a scientific instrument for the networking community. Comput. Commun. 193: 189-203 (2022) - [j41]Jeff L. Waugh, Asim A. O. Hassan, John K. Kuster, Jacob M. Levenstein, Simon Keith Warfield, Nikolaos Makris, Norbert Brüggemann, Nutan Sharma, Hans C. Breiter, Anne J. Blood:
An MRI method for parcellating the human striatum into matrix and striosome compartments in vivo. NeuroImage 246: 118714 (2022) - [j40]Leo R. Zekelman, Fan Zhang, Nikos Makris, Jianzhong He, Yuqian Chen, Tengfei Xue, Daniela Liera, Daniel L. Drane, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell:
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. NeuroImage 246: 118739 (2022) - [j39]Kostas Chounos, Panagiotis Karamichailidis, Nikos Makris, Thanasis Korakis:
Unlicensed Spectrum Forecasting: An Interference Umbrella Based on Channel Analysis and Machine Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3421-3436 (2022) - [c57]Darko Cvetkovski, Nebojsa Maletic, Jesús Gutiérrez, Paris Flegkas, Nikos Makris, Alexandros Dalkalitsis, Petros Arvanitis, Markos P. Anastasopoulos, Petros Georgiadis, Anna Tzanakaki:
Railway services support over a 5G infrastructure exploiting a multi-technology wireless transport network. FNWF 2022: 585-590 - [c56]Vasileios Zalokostas-Diplas, Nikos Makris, Virgilios Passas, Thanasis Korakis:
Experimental Evaluation of ML Models for Dynamic VNF Autoscaling. CSCN 2022: 157-162 - [c55]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. ICC 2022: 2284-2289 - [c54]Georgios Kyprianou, Alexandra Karousou, Nikolaos Makris, Ilias T. Sarafis, Savvas A. Chatzichristofis, Angelos Amanatiadis:
How an Educational Robot Should Look Like: The Students' Perspective. ICCE 2022: 1-5 - [c53]Theodoros Tsourdinis, Ilias Chatzistefanidis, Nikos Makris, Thanasis Korakis:
AI-driven Service-aware Real-time Slicing for beyond 5G Networks. INFOCOM Workshops 2022: 1-6 - [c52]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. ISBI 2022: 1-5 - [c51]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI 2022: 1-5 - [c50]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) 2022: 174-184 - [c49]Alexandros Valantasis, Nikos Makris, Thanasis Korakis:
Orchestration Software for Resource Constrained Datacenters: an Experimental Evaluation. NetSoft 2022: 121-126 - [d2]Ilias Chatzistefanidis, Nikos Makris, Virgilios Passas, Thanasis Korakis:
UE Statistics Time-Series (CQI) in LTE Networks. IEEE DataPort, 2022
- [d1]Theodoros Tsourdinis, Ilias Chatzistefanidis, Nikos Makris, Thanasis Korakis:
UE Network Traffic Time-Series (Applications, Throughput, Latency, CQI) in LTE/5G Networks. IEEE DataPort, 2022 - [i10]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR abs/2201.12528 (2022) - [i9]Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William M. Wells III, Lauren J. O'Donnell:
Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach. CoRR abs/2202.03595 (2022) - [i8]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR abs/2205.00627 (2022) - [i7]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR abs/2207.02402 (2022) - [i6]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions. CoRR abs/2207.08975 (2022) - [i5]Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell:
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR abs/2210.07411 (2022) - [i4]Yuxiang Wei, Tengfei Xue, Yogesh Rathi, Nikos Makris, Fan Zhang, Lauren J. O'Donnell:
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections. CoRR abs/2211.07398 (2022) - [i3]Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio, Yuanjing Feng, Dhiego Chaves de Almeida Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O'Donnell, Fan Zhang:
DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography. CoRR abs/2211.08119 (2022) - 2021
- [j38]Valentina Nejkovic, Filip Jelenkovic, Nikos Makris, Virgilios Passas, Thanasis Korakis, Milorad Tosic:
Semantic Coordination on the Edge of Heterogeneous Ultra Dense Networks. J. Netw. Syst. Manag. 29(2): 17 (2021) - [j37]Cornelius Weiller, Marco Reisert, Ivo Peto, Jürgen Hennig, Nikos Makris, Michael Petrides, Michel Rijntjes, Karl Egger:
The ventral pathway of the human brain: A continuous association tract system. NeuroImage 234: 117977 (2021) - [j36]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [j35]Nikos Makris, Christos Zarafetas, Alexandros Valantasis, Thanasis Korakis:
Service Orchestration Over Wireless Network Slices: Testbed Setup and Integration. IEEE Trans. Netw. Serv. Manag. 18(1): 482-497 (2021) - [c48]Theodoros Tsourdinis, Nikos Makris, Thanasis Korakis:
Experimental evaluation of a Follow-me MEC Cloud-Native 5G network. 5GWF 2021: 394-399 - [c47]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
ML-driven scaling of 5G Cloud-Native RANs. GLOBECOM 2021: 1-6 - [c46]Ioanna Mesogiti, Eleni Theodoropoulou, Fotini Setaki, George L. Lyberopoulos, Anna Tzanakaki, Markos P. Anastasopoulos, Christina Tanya Politi, Panagiotis Papaioannou, Christos Tranoris, Spyros G. Denazis, Paris Flegkas, Nikos Makris, Nebojsa Maletic, Darko Cvetkovski, Jesús Gutiérrez Terán, Panteleimon-Konstantinos Chartsias, Konstantinos Stamatis, Marievi Xezonaki, Dimitrios Kritharidis, Alexandros Dalkalitsis, Manfred Taferner, Martin Piovarci:
5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways. AIAI Workshops 2021: 21-30 - [c45]Panagiotis Tzimotoudis, Nikos Makris, Thanasis Korakis:
Demo: Design and Implementation of an Open-Source NB-IoT Core Network. IOT 2021: 200-202 - [c44]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) 2021: 497-507 - [c43]Virgilios Passas, Nikos Makris, Christos Nanis, Thanasis Korakis:
V2MEC: Low-Latency MEC for Vehicular Networks in 5G Disaggregated Architectures. WCNC 2021: 1-6 - [c42]Alexandros Valantasis, Nikos Makris, Christos Zarafetas, Thanasis Korakis:
Experimental Evaluation of Orchestration Software for Virtual Network Functions. WCNC 2021: 1-6 - [i2]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR abs/2107.04938 (2021) - 2020
- [j34]Panagiotis Skrimponis, Nikos Makris, Sheila Borges Rajguru, Karen Cheng, Jonatan Ostrometzky, Emily Ford, Zoran Kostic, Gil Zussman, Thanasis Korakis:
COSMOS educational toolkit: using experimental wireless networking to enhance middle/high school STEM education. Comput. Commun. Rev. 50(4): 58-65 (2020) - [j33]Fan Zhang, Guoqiang Xie, Laura Leung, Michael A. Mooney, Lorenz Epprecht, Isaiah Norton, Yogesh Rathi, Ron Kikinis, Ossama Al-Mefty, Nikos Makris, Alexandra J. Golby, Lauren J. O'Donnell:
Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. NeuroImage 220: 117063 (2020) - [j32]Virgilios Passas, Vasileios Miliotis, Nikos Makris, Thanasis Korakis:
Pricing Based Distributed Traffic Allocation for 5G Heterogeneous Networks. IEEE Trans. Veh. Technol. 69(10): 12111-12123 (2020) - [c41]Vasileios Miliotis, Nikos Makris, Virgilios Passas, Thanasis Korakis:
Portfolio Theory Application for 5G Heterogeneous Cloud-RAN Infrastructure. ICC 2020: 1-6
2010 – 2019
- 2019
- [c40]Kostas Chounos, Nikos Makris, Thanasis Korakis:
Enabling Distributed Spectral Awareness for Disaggregated 5G Ultra-Dense HetNets. 5G World Forum 2019: 304-309 - [c39]Wladek Grabinski, Ahmed Abo-Elhadid, Marek Mierzwinski, Laurent Lemaitre, Mike Brinson, Christophe Lallement, Jean-Michel Sallese, Sadayuki Yoshitomi, Paul Malisse, Henri Oguey, Stefan Cserveny, Marcelo Antonio Pavanello, Christian C. Enz, François Krummenacher, Eric A. Vittoz, Michelly de Souza, Daniel Tomaszewski, Jolanta Malesinska, Grzegorz Gluszko, Matthias Bucher, Nikolaos Makris, Aristeidis Nikolaou:
FOSS EKV2.6 Verilog-A Compact MOSFET Model. ESSDERC 2019: 190-193 - [c38]Nikolaos Makris, Loukas Chevas, Matthias Bucher:
Compact Modeling of Low Frequency Noise and Thermal Noise in Junction Field Effect Transistors. ESSDERC 2019: 198-201 - [c37]Daniel Camps-Mur, Kostas Katsalis, Igor Freire, Jesús Gutiérrez, Nikos Makris, Salvatore Pontarelli, Robert Schmidt:
5G-PICTURE: A Programmable Multi-tenant 5G Compute-RAN-Transport Infrastructure. EuCNC 2019: 469-474 - [c36]Nikos Makris, Panagiotis Karamichailidis, Christos Zarafetas, Thanasis Korakis:
Spectrum Coordination for Disaggregated Ultra Dense Heterogeneous 5G Networks. EuCNC 2019: 512-517 - [c35]Virgilios Passas, Nikos Makris, Vasileios Miliotis, Thanasis Korakis:
Pricing Based MEC Resource Allocation for 5G Heterogeneous Network Access. GLOBECOM 2019: 1-6 - [c34]Virgilios Passas, Vasileios Miliotis, Nikos Makris, Thanasis Korakis:
Dynamic RAT Selection and Pricing for Efficient Traffic Allocation in 5G HetNets. ICC 2019: 1-6 - [c33]Nikos Makris, Virgilios Passas, Christos Nanis, Thanasis Korakis:
On Minimizing Service Access Latency: Employing MEC on the Fronthaul of Heterogeneous 5G Architectures. LANMAN 2019: 1-6 - [c32]Nikos Makris, Christos Zarafetas, Kostas Choumas, Paris Flegkas, Thanasis Korakis:
Virtualized Heterogeneous 5G Cloud-RAN deployment over Redundant Wireless Links. LANMAN 2019: 1-2 - [c31]Virgilios Passas, Nikos Makris, Christos Nanis, Thanasis Korakis:
MEC service placement over the Fronthaul of 5G Cloud-RANs. LANMAN 2019: 1-2 - [c30]Aristeidis Nikolaou, Loukas Chevas, Alexia Papadopoulou, Nikolaos Makris, Matthias Bucher, Giulio Borghello, Federico Faccio:
Forward and Reverse Operation of Enclosed-Gate MOSFETs and Sensitivity to High Total Ionizing Dose. MIXDES 2019: 306-309 - [c29]Alexia Papadopoulou, Nikolaos Makris, Loukas Chevas, Aristeidis Nikolaou, Matthias Bucher:
Design of Micropower Operational Transconductance Amplifiers for High Total Ionizing Dose Effects. MOCAST 2019: 1-4 - 2018
- [j31]Stella Vosniadou, Dimitrios Pnevmatikos, Nikos Makris, Despina Lepenioti, Kalliopi Eikospentaki, Anna Chountala, Giorgos Kyrianakis:
The Recruitment of Shifting and Inhibition in On-line Science and Mathematics Tasks. Cogn. Sci. 42(6): 1860-1886 (2018) - [j30]Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell:
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172: 826-837 (2018) - [j29]Valerie J. Sydnor, Ana María Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha Elizabeth Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O'Donnell, Marek Kubicki:
A comparison of three fiber tract delineation methods and their impact on white matter analysis. NeuroImage 178: 318-331 (2018) - [j28]Fan Zhang, Ye Wu, Isaiah Norton, Laura Rigolo, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell:
An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage 179: 429-447 (2018) - [j27]Ye Wu, Fan Zhang, Nikos Makris, Yuping Ning, Isaiah Norton, Shenglin She, Hongjun Peng, Yogesh Rathi, Yuanjing Feng, Huawang Wu, Lauren J. O'Donnell:
Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. NeuroImage 181: 16-29 (2018) - [c28]Nikolaos Makris, Matthias Bucher, Farzan Jazaeri, Jean-Michel Sallese:
A Compact Model for Static and Dynamic Operation of Symmetric Double-Gate Junction FETs. ESSDERC 2018: 238-241 - [c27]Nikos Makris, Christos Zarafetas, Pavlos Basaras, Thanasis Korakis, Navid Nikaein, Leandros Tassiulas:
Cloud-Based Convergence of Heterogeneous RANs in 5G Disaggregated Architectures. ICC 2018: 1-6 - [c26]Virgilios Passas, Nikos Makris, Vasileios Miliotis, Thanasis Korakis, Leandros Tassiulas:
MATCH: Multiple Access for Multiple Traffic Classes in 5G HetNets. ICC 2018: 1-6 - [c25]Loukas Chevas, Aristeidis Nikolaou, Matthias Bucher, Nikolaos Makris, Alexia Papadopoulou, Apostolos Zografos, Giulio Borghello, Henri D. Koch, Federico Faccio:
Investigation of Scaling and Temperature Effects in Total Ionizing Dose (TID) Experiments in 65 nm CMOS. MIXDES 2018: 313-318 - [c24]Nikos Makris, Virgilios Passas, Thanasis Korakis, Leandros Tassiulas:
Employing MEC in the Cloud-RAN: An Experimental Analysis. EdgeTech@MobiCom 2018: 15-19 - [c23]Aristeidis Nikolaou, Matthias Bucher, Nikos Makris, Alexia Papadopoulou, Loukas Chevas, Giulio Borghello, Henri D. Koch, Kostas Kloukinas, Tuomas S. Poikela, Federico Faccio:
Extending a 65nm CMOS process design kit for high total ionizing dose effects. MOCAST 2018: 1-4 - [c22]Nikos Makris, Christos Zarafetas, Alexandros Valantasis, Thanasis Korakis, Leandros Tassiulas:
Integrating NFV-MANO with Wireless Services: Experiences and Testbed Development. NFV-SDN 2018: 1-5 - 2017
- [c21]Nikos Makris, Agorastos-Dimitrios Samaras, Virgilios Passas, Thanasis Korakis, Leandros Tassiulas:
Measuring LTE and WiFi coexistence in Unlicensed spectrum. EuCNC 2017: 1-6 - [c20]Nikos Makris, Pavlos Basaras, Thanasis Korakis, Navid Nikaein, Leandros Tassiulas:
Experimental evaluation of functional splits for 5G cloud-RANs. ICC 2017: 1-6 - 2016
- [j26]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. NeuroImage 125: 386-400 (2016) - [j25]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Martha Elizabeth Shenton, Carl-Fredrik Westin, Yogesh Rathi:
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging". NeuroImage 142: 696 (2016) - [c19]Milorad Tosic, Valentina Nejkovic, Filip Jelenkovic, Nenad Milosevic, Zorica B. Nikolic, Nikos Makris, Thanasis Korakis:
Semantic coordination protocol for LTE and Wi-Fi coexistence. EuCNC 2016: 69-73 - [c18]Virgilios Passas, Vasileios Miliotis, Nikos Makris, Thanasis Korakis, Leandros Tassiulas:
Paris Metro Pricing for 5G HetNets. GLOBECOM 2016: 1-6 - [c17]Nikos Makris, Kostas Choumas, Christos Zarafetas, Thanasis Korakis, Leandros Tassiulas:
Forging client mobility with OpenFlow: An experimental study. WCNC 2016: 1-7 - 2015
- [c16]Eleni Kaldoudi, Nikos Makris:
Patient Empowerment as a Cognitive Process. HEALTHINF 2015: 605-610 - [c15]Stella Vosniadou, Dimitrios Pnevmatikos, Nikos Makris, Kalliopi Eikospentaki, Despina Lepenioti, Anna Chountala, Giorgos Kyrianakis:
Executive Functions and Conceptual Change in Science and Mathematics Learning. CogSci 2015 - [c14]Donatos Stavropoulos, Giannis Kazdaridis, Nikos Makris, Harris Niavis, Ioannis Igoumenos, Thanasis Korakis, Leandros Tassiulas:
Enabling experimentation in mobile sensing scenarios through 4G networks: The NITOS approach. EuCNC 2015: 502-506 - [c13]Kostas Choumas, Nikos Makris, Thanasis Korakis, Leandros Tassiulas, Max Ott:
Testbed Innovations for Experimenting with Wired and Wireless Software Defined Networks. ICDCS Workshops 2015: 87-94 - [c12]Lipeng Ning, Kawin Setsompop, Oleg V. Michailovich, Nikos Makris, Carl-Fredrik Westin, Yogesh Rathi:
A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. IPMI 2015: 57-68 - [c11]Vasilis Maglogiannis, Dries Naudts, Ingrid Moerman, Nikos Makris, Thanasis Korakis:
Demo: Real LTE Experimentation in a Controlled Environment. MobiHoc 2015: 413-414 - [c10]Nikos Makris, Christos Zarafetas, Spyros Kechagias, Thanasis Korakis, Ivan Seskar, Leandros Tassiulas:
Enabling open access to LTE network components; the NITOS testbed paradigm. NetSoft 2015: 1-6 - 2014
- [c9]Virgilios Passas, Nikos Makris, Stratos Keranidis, Thanasis Korakis, Leandros Tassiulas:
Towards the efficient performance of LTE-A systems: Implementing a cell planning framework based on cognitive sensing. CCS 2014: 1-5 - [c8]Stratos Keranidis, Giannis Kazdaridis, Nikos Makris, Thanasis Korakis, Iordanis Koutsopoulos, Leandros Tassiulas:
Experimental evaluation and comparative study on energy efficiency of the evolving IEEE 802.11 standards. e-Energy 2014: 109-119 - [c7]Nikos Makris, Thanasis Korakis, Dimitrios Katsaros, Leandros Tassiulas:
Enabling ITS real world experimentation in NITOS future Internet facility. WONS 2014: 97-103 - 2013
- [j24]Maria Ida Iacono, Nikos Makris, Luca T. Mainardi, Leonardo M. Angelone, Giorgio Bonmassar:
MRI-Based Multiscale Model for Electromagnetic Analysis in the Human Head with Implanted DBS. Comput. Math. Methods Medicine 2013: 694171:1-694171:12 (2013) - [j23]Nikos Makris, Dick F. Swaab, André J. W. van der Kouwe, Brandon Abbs, Denise Boriel, Robert J. Handa, Stuart Tobet, Jill M. Goldstein:
Volumetric parcellation methodology of the human hypothalamus in neuroimaging: Normative data and sex differences. NeuroImage 69: 1-10 (2013) - [c6]Kostas Choumas, Nikos Makris, Thanasis Korakis, Leandros Tassiulas, Max Ott:
Exploiting OpenFlow Resources towards a Content-Centric LAN. EWSDN 2013: 93-98 - [c5]Demian Wassermann, Nikos Makris, Yogesh Rathi, Martha Elizabeth Shenton, Ron Kikinis, Marek Kubicki, Carl-Fredrik Westin:
On Describing Human White Matter Anatomy: The White Matter Query Language. MICCAI (1) 2013: 647-654 - [i1]Stratos Keranidis, Giannis Kazdaridis, Nikos Makris, Thanasis Korakis, Iordanis Koutsopoulos, Leandros Tassiulas:
Evolution of IEEE 802.11 compatible standards and impact on Energy Consumption. CoRR abs/1308.1963 (2013) - 2012
- [j22]David N. Kennedy, Christian Haselgrove, Steven M. Hodge, Pallavi S. Rane, Nikos Makris, Jean A. Frazier:
CANDIShare: A Resource for Pediatric Neuroimaging Data. Neuroinformatics 10(3): 319-322 (2012) - [c4]Maria Giulia Preti, Nikos Makris, Maria Marcella Laganà, George M. Papadimitriou, Francesca Baglio, Ludovica Griffanti, Raffaello Nemni, Pietro Cecconi, Carl-Fredrik Westin, Giuseppe Baselli:
A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas. EMBC 2012: 2283-2286 - [c3]Nikos Makris, Stratos Keranidis, Dimitris Giatsios, Thanasis Korakis, Iordanis Koutsopoulos, Leandros Tassiulas, Thierry Rakotoarivelo, Thierry Parmentelat:
Cross-Testbed Experimentation Using the Planetlab-NITOS Federation. TRIDENTCOM 2012: 373-376 - 2011
- [j21]Brandon Abbs, Lichen Liang, Nikos Makris, Ming T. Tsuang, Larry J. Seidman, Jill M. Goldstein:
Covariance modeling of MRI brain volumes in memory circuitry in schizophrenia: Sex differences are critical. NeuroImage 56(4): 1865-1874 (2011) - [c2]Maria Ida Iacono, Nikos Makris, Luca T. Mainardi, John T. Gale, André J. W. van der Kouwe, Azma Mareyam, Jonathan R. Polimeni, Lawrence L. Wald, Bruce Fischl, Emad N. Eskandar, Giorgio Bonmassar:
Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI. EMBC 2011: 5706-5709 - 2010
- [j20]David N. Kennedy, Christian Haselgrove, Nikos Makris, Donald M. Goldin, Michael H. Lev, David Caplan, Verne S. Caviness Jr.:
WebParc: a tool for analysis of the topography and volume of stroke from MRI. Medical Biol. Eng. Comput. 48(3): 215-228 (2010)
2000 – 2009
- 2009
- [j19]Jorge Jovicich, Silvester Czanner, Xiao Han, David H. Salat, André J. W. van der Kouwe, Brian T. Quinn, Jenni Pacheco, Marilyn S. Albert, Ronald J. Killiany, Deborah Blacker, Ralph Paul Maguire, H. Diana Rosas, Nikos Makris, Randy L. Gollub, Anders M. Dale, Bradford C. Dickerson, Bruce Fischl:
MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. NeuroImage 46(1): 177-192 (2009) - [j18]Vitaly Napadow, Rupali P. Dhond, Kyungmo Park, Jieun Kim, Nikos Makris, Kenneth K. Kwong, Richard E. Harris, Patrick L. Purdon, Norman Kettner, Kathleen K. S. Hui:
Time-variant fMRI activity in the brainstem and higher structures in response to acupuncture. NeuroImage 47(1): 289-301 (2009) - 2008
- [j17]Rudolph Pienaar, Bruce Fischl, Verne S. Caviness Jr., Nikos Makris, Patricia Ellen Grant:
A methodology for analyzing curvature in the developing brain from preterm to adult. Int. J. Imaging Syst. Technol. 18(1): 42-68 (2008) - [j16]Nikos Makris, Leonardo M. Angelone, Seann Tulloch, Scott Sorg, Jonathan Kaiser, David N. Kennedy, Giorgio Bonmassar:
MRI-based anatomical model of the human head for specific absorption rate mapping. Medical Biol. Eng. Comput. 46(12): 1239-1251 (2008) - [j15]Vitaly Napadow, Rupali P. Dhond, Giulia Conti, Nikos Makris, Emery N. Brown, Riccardo Barbieri:
Brain correlates of autonomic modulation: Combining heart rate variability with fMRI. NeuroImage 42(1): 169-177 (2008) - 2007
- [j14]Nikos Makris, George M. Papadimitriou, Scott Sorg, David N. Kennedy, Verne S. Caviness Jr., Deepak N. Pandya:
The occipitofrontal fascicle in humans: A quantitative, in vivo, DT-MRI study. NeuroImage 37(4): 1100-1111 (2007) - [j13]Peng Yu, Patricia Ellen Grant, Yuan Qi, Xiao Han, Florent Ségonne, Rudolph Pienaar, Evelina Busa, Jenni Pacheco, Nikos Makris, Randy L. Buckner, Polina Golland, Bruce Fischl:
Cortical Surface Shape Analysis Based on Spherical Wavelets. IEEE Trans. Medical Imaging 26(4): 582-597 (2007) - 2006
- [j12]Kristine B. Walhovd, Anders M. Fjell, Anders M. Dale, Bruce Fischl, Brian T. Quinn, Nikos Makris, David H. Salat, Ivar Reinvang:
Regional cortical thickness matters in recall after months more than minutes. NeuroImage 31(3): 1343-1351 (2006) - [j11]Xiao Han, Jorge Jovicich, David H. Salat, André J. W. van der Kouwe, Brian T. Quinn, Silvester Czanner, Evelina Busa, Jenni Pacheco, Marilyn S. Albert, Ronald J. Killiany, Ralph Paul Maguire, H. Diana Rosas, Nikos Makris, Anders M. Dale, Bradford C. Dickerson, Bruce Fischl:
Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer. NeuroImage 32(1): 180-194 (2006) - [j10]Mitsuhiro Nishida, Nikolaos Makris, David N. Kennedy, Mark G. Vangel, Bruce Fischl, Kalpathy S. Krishnamoorthy, Verne S. Caviness Jr., Patricia Ellen Grant:
Detailed semiautomated MRI based morphometry of the neonatal brain: Preliminary results. NeuroImage 32(3): 1041-1049 (2006) - [j9]Vitaly Napadow, Rupali P. Dhond, David N. Kennedy, Kathleen K. S. Hui, Nikos Makris:
Automated Brainstem Co-registration (ABC) for MRI. NeuroImage 32(3): 1113-1119 (2006) - [j8]Nikos Makris, Jonathan Kaiser, Christian Haselgrove, Larry J. Seidman, Joseph Biederman, Denise Boriel, Eve M. Valera, George M. Papadimitriou, Bruce Fischl, Verne S. Caviness Jr., David N. Kennedy:
Human cerebral cortex: A system for the integration of volume- and surface-based representations. NeuroImage 33(1): 139-153 (2006) - [j7]Mukund Desai, David N. Kennedy, Rami Mangoubi, Jayant Shah, W. Clem Karl, Andrew J. Worth, Nikos Makris, Homer H. Pien:
Model-based variational smoothing and segmentation for diffusion tensor imaging in the brain. Neuroinformatics 4(3): 217-233 (2006) - 2005
- [j6]Nikos Makris, John E. Schlerf, Steven M. Hodge, Christian Haselgrove, Matthew D. Albaugh, Larry J. Seidman, Scott L. Rauch, Gordon J. Harris, Joseph Biederman, Verne S. Caviness Jr., David N. Kennedy, Jeremy D. Schmahmann:
MRI-based surface-assisted parcellation of human cerebellar cortex: an anatomically specified method with estimate of reliability. NeuroImage 25(4): 1146-1160 (2005) - [j5]M. M. Strauss, Nikos Makris, I. Aharon, Mark G. Vangel, Julie M. Goodman, David N. Kennedy, G. P. Gasic, Hans C. Breiter:
fMRI of sensitization to angry faces. NeuroImage 26(2): 389-413 (2005) - [j4]Kathleen K. S. Hui, Jing Liu, Ovidiu Marina, Vitaly Napadow, Christian Haselgrove, Kenneth K. Kwong, David N. Kennedy, Nikos Makris:
The integrated response of the human cerebro-cerebellar and limbic systems to acupuncture stimulation at ST 36 as evidenced by fMRI. NeuroImage 27(3): 479-496 (2005)
1990 – 1999
- 1998
- [j3]Andrew J. Worth, Nikos Makris, James W. Meyer, Verne S. Caviness Jr., David N. Kennedy:
Semiautomatic segmentation of brain exterior in magnetic resonance images driven by empirical procedures and anatomical knowledge. Medical Image Anal. 2(4): 315-324 (1998) - [j2]Andrew J. Worth, Nikos Makris, Mark R. Patti, Julie M. Goodman, Elizabeth A. Hoge, Verne S. Caviness Jr., David N. Kennedy:
Precise Segmentation of the Lateral Ventricles and Caudate Nucleus in MR Brain Images using Anatomically Driven Histograms. IEEE Trans. Medical Imaging 17(2): 303-310 (1998) - 1997
- [j1]David N. Kennedy, Nikos Makris, Verne S. Caviness Jr., Andrew J. Worth:
Neuroanatomical Segmentation in MRI: Technological Objectives. Int. J. Pattern Recognit. Artif. Intell. 11(8): 1161-1187 (1997) - [c1]Andrew J. Worth, Nikos Makris, James W. Meyer, Verne S. Caviness Jr., David N. Kennedy:
Automated Segmentation of Brain Exterior in MR Images Driven by Empirical Procedures and Anatomical Knowledge. IPMI 1997: 99-112
Coauthor Index
[j48] [c81] [c80] [c79] [c75] [c71] [c69] [c68] [c59] [c58] [j43] [j42] [j39] [c56] [c53] [c49] [d2] [d1] [j38] [j35] [c48] [c45] [c43] [c42] [j34] [j32] [c41] [c40] [c36] [c35] [c34] [c33] [c32] [c31] [c27] [c26] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c3]
Lauren O'Donnell
aka: Lauren J. O'Donnell
aka: Lauren J. O'Donnell
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