Tomas Iesmantas - Department of Mathematics and Natural Sciences, Kaunas University of Technology

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论文共 34 篇作者统计合作学者相似作者

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The Impact of DNA Point Mutations and Epigenetic Modifications on the Nucleosome Wrapping Energy

Rasa Giniunaite,Tomas Iesmantas,Daiva Petkeviciute-Gerlach

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2024)

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Cerebrospinal Fluid Volume As an Early Radiological Factor for Clinical Course Prediction after Aneurysmal Subarachnoid Hemorrhage. A Pilot Study

Vytenis Ratkunas,Edgaras Misiulis,Indre Lapinskiene,Gediminas Skarbalius,Robertas Navakas,Algis Dziugys, Alina Barkauskiene,Aidanas Preiksaitis,Mindaugas Serpytis,Saulius Rocka,Saulius Lukosevicius,Tomas Iesmantas,Robertas Alzbutas,Jewel Sengupta,Vytautas Petkus

EUROPEAN JOURNAL OF RADIOLOGY (2024)

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Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection

Jewel Sengupta,Robertas Alzbutas,Tomas Iesmantas,Vytautas Petkus, Alina Barkauskiene, Vytenis Ratkunas,Saulius Lukosevicius,Aidanas Preiksaitis,Indre Lapinskiene,Mindaugas Serpytis,Edgaras Misiulis,Gediminas Skarbalius,Robertas Navakas,Algis Dziugys

DIAGNOSTICSno. 21 (2024)

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A Framework for Detailed Numerical Simulation of Patient-Specific Cerebrospinal Fluid Flow for Relevant Clinical Applications

Edgaras Misiulis,Algis Džiugys, Alina Barkauskiene,Aidanas Preiksaitis, Vytenis Ratkunas,Gediminas Skarbalius,Robertas Navakas,Tomas Iesmantas, Robertas Alzbutas, Saulius Lukosevicius,Mindaugas Serpytis,Saulius Ročka,Indre Lapinskiene,Vytautas Petkus

openalex（2023）

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Patient-specific numerical modeling of cerebrospinal fluid flow

E. Misiulis, A. Barkauskiene, V. Ratkunas,A. Preiksaitis,S. Lukosevicius,R. Alzbutas,T. Iesmantas, M. Serpytis,A. Dziugys,V. Petkus

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM（2022）

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Stochastic Simulation of Flow Rate and Power Consumption Considering the Uncertainty of Pipeline Cracking Rate and Time-Dependent Topology of a Natural Gas Transmission Network

Robertas Alzbutas,Tomas Iesmantas

ENERGIES（2022）

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Deep Learning Method for Visual Question Answering in the Digital Radiology Domain

Dainius Gaidamavičius,Tomas Iešmantas

Mathematical Models in Engineeringno. 2 (2022): 58-71

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Aggregated Risk Assessment and Survey for Risk Reduction in Oil Terminals

Robertas Alzbutas,Mindaugas Vaisnoras,Inga Saruniene,Ricardas Krikstolaitis,Mindaugas Valincius,Egidijus Babilas,Juozas Augutis,Sigitas Rimkevicius,Tomas Iesmantas,Feliksas Anusauskas,Lauras Mataitis

Sustainabilityno. 21 (2021): 12169-12169

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An Early Stage Researcher's Primer on Systems Medicine Terminology

Network and Systems Medicine (2020): 2-50

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Enhancing Multi-tissue and Multi-scale Cell Nuclei Segmentation with Deep Metric Learning

Tomas Iesmantas,Agne Paulauskaite-Taraseviciene,Kristina Sutiene

Applied Sciences（2020）

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