Viktor Vegh - RankMe

30 papers B 1Misc 3Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent-MIRA: AI-orchestrated medical imaging agent for PET image retrieval and assistance. Comput. Medical Imaging Graph. Rajat Vashistha, Sandra Brosda, Lauren G. Aoude, Jessica Ng, Parveen Kundu, Andrew P. Barbour, Viktor Vegh
2025	J	`jnl`	Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets. CoRR Soumen Ghosh, Christine Jestin Hannan, Rajat Vashistha, Parveen Kundu, Sandra Brosda, Lauren G. Aoude, James Lonie, Andrew Nathanson, Jessica Ng, Andrew P. Barbour, Viktor Vegh
2025	J	`jnl`	The potential role of AI agents in transforming nuclear medicine research and cancer management in India. CoRR Rajat Vashistha, Arif Gulzar, Parveen Kundu, Punit Sharma, Mark Brunstein, Viktor Vegh
2025	—	`conf`	TripletResNet: A Deep Metric Learning Approach for mTBI Diagnosis from 3D CT. AI (2) Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2024	J	`jnl`	Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI. CoRR Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2024	J	`jnl`	NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction. CoRR Soumen Ghosh, Viktor Vegh, Shahrzad Moinian, Hamed Moradi, Alice-Ann Sullivan, John Phamnguyen, David C. Reutens
2023	J	`jnl`	Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT. CoRR Hanem Ellethy, Shekhar S. Chandra, Viktor Vegh
2023	J	`jnl`	Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. CoRR Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
2023	—	`conf`	Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis. AI (1) Hanem Ellethy, Viktor Vegh, Shekhar S. Chandra
2022	J	`jnl`	A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications. IEEE Trans. Medical Imaging Jiasheng Su, Ruben Pellicer-Guridi, Thomas Edwards, Miguel Fuentes, Matthew S. Rosen, Viktor Vegh, David C. Reutens
2022	J	`jnl`	From CNNs to GANs for cross-modality medical image estimation. Comput. Biol. Medicine Azin Shokraei Fard, David C. Reutens, Viktor Vegh
2022	J	`jnl`	Generalisation of continuous time random walk to anomalous diffusion MRI models with an age-related evaluation of human corpus callosum. NeuroImage Qianqian Yang, David C. Reutens, Viktor Vegh
2022	J	`jnl`	Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J. Nestor, Viktor Vegh, Fatima A. Nasrallah, Craig D. Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun
2022	J	`jnl`	The application of the distributed-order time fractional Bloch model to magnetic resonance imaging. Appl. Math. Comput. Qiang Yu, Ian W. Turner, Fawang Liu, Viktor Vegh
2021	J	`jnl`	CNNs and GANs in MRI-based cross-modality medical image estimation. CoRR Azin Shokraei Fard, David C. Reutens, Viktor Vegh
2021	J	`jnl`	Fast Diffusion Kurtosis Mapping of Human Brain at 7 Tesla With Hybrid Principal Component Analyses. IEEE Access Fangrong Zong, Jiaxin Du, Xiaofeng Deng, Xubin Chai, Yan Zhuo, Viktor Vegh, Rong Xue
2018	J	`jnl`	Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T. NeuroImage Kiran Thapaliya, Viktor Vegh, Steffen Bollmann, Markus Barth
2018	J	`jnl`	Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure? NeuroImage Qiang Yu, David C. Reutens, Viktor Vegh
2018	J	`jnl`	Signal compartments in ultra-high field multi-echo gradient echo MRI reflect underlying tissue microstructure in the brain. NeuroImage Shrinath Kadamangudi, David C. Reutens, Surabhi Sood, Viktor Vegh
2017	J	`jnl`	Linear centralization classifier. CoRR Mohammad Reza Bonyadi, Viktor Vegh, David C. Reutens
2017	J	`jnl`	Multi-term time-fractional Bloch equations and application in magnetic resonance imaging. J. Comput. Appl. Math. Shanlin Qin, Fawang Liu, Ian W. Turner, Viktor Vegh, Qiang Yu, Qianqian Yang
2014	J	`jnl`	MRI signal phase oscillates with neuronal activity in cerebral cortex: Implications for neuronal current imaging. NeuroImage Jiaxin Du, Viktor Vegh, David C. Reutens
2012	Misc	`conf`	Application of Weber's Law to Medical Image Registration to Accommodate Intensity Inhomogeneities. DICTA Quang Minh Tieng, Viktor Vegh, David C. Reutens, Zhengyi Yang
2012	J	`jnl`	HSQC spectral based similarity matching of compounds using nearest neighbours and a fast discrete genetic algorithm. J. Cheminformatics Gregory K. Pierens, Steven Brossi, Zhengyi Yang, David C. Reutens, Viktor Vegh
2012	J	`jnl`	The Laminar Cortex Model: A New Continuum Cortex Model Incorporating Laminar Architecture. PLoS Comput. Biol. Jiaxin Du, Viktor Vegh, David C. Reutens
2011	Misc	`conf`	A Rapid Procedure for Spectral Similarity Matching of Heteronuclear Single Quantum Coherence Spectra. DICTA Zhengyi Yang, Viktor Vegh, David C. Reutens, Gregory K. Pierens
2011	Misc	`conf`	Qualitative and Quantitave Analysis of Six Image Fusion Methodologies and Their Application to Medical Imaging. DICTA Seyyed Adel Alavi Fazel, Yaniv Gal, Zhengyi Yang, Viktor Vegh
2010	B	`conf`	Multimodal image registration using stochastic differential equation optimization. ICIP Viktor Vegh, Zhengyi Yang, Quang Minh Tieng, David C. Reutens
2008	J	`jnl`	An Approach of Deriving Relative Sensitivity Profiles for Image Reconstruction in MRI. IEEE J. Sel. Top. Signal Process. Quang Minh Tieng, Peter Ullmann, Graham J. Galloway, Jürgen Hennig, Gary J. Cowin, Viktor Vegh
2008	—	`conf`	Fast parallel image reconstruction using smacker for functional magnetic resonance imaging. ISBI Quang Minh Tieng, Viktor Vegh, Gary J. Cowin, Zhengyi Yang