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Keivan Rahmani

Showing results (1-10 of 11) with videos related to

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Journal of Hazardous Materials|April 1, 2022
Prediction of heel build-up on activated carbon using machine learningKeivan Rahmani, Alireza Haghighat Mamaghani, Zaher Hashisho, et al.
International Journal of Biological Macromolecules|May 4, 2018
Doxorubicin hydrochloride - Loaded electrospun chitosan/cobalt ferrite/titanium oxide nanofibers for hyperthermic tumor cell treatment and controlled drug releaseMaryam Radmansouri, Ehsan Bahmani, Einollah Sarikhani, et al.
Nature Nanotechnology|October 15, 2025
Nanosensors for real-time intracellular analyticsEinollah Sarikhani, Kuldeep Mahato, Ana Casanova, et al.
Journal of Hazardous Materials|July 19, 2024
Simultaneous effect of oxygen impurity and flow rate of purge gas on adsorption capacity of and heel buildup on activated carbon during cyclic adsorption-desorption of VOCKeivan Rahmani, Alireza Haghighat Mamaghani, Arman Peyravi, et al.
Journal of Hazardous Materials|December 28, 2020
Mesoporous MCM-41 derived from natural Opoka and its application for organic vapors removalYangyu Liu, Chunquan Li, Arman Peyravi, et al.
Dento Maxillo Facial Radiology|January 8, 2025
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imagingBaiyan Qi, Lekshmi Sasi, Suhel Khan, et al.
Small (Weinheim an Der Bergstrasse, Germany)|November 7, 2025
Label-Free Detection of Nuclear Envelope Nucleoporation using 2D Morphological Embeddings and Machine LearningKeivan Rahmani, Hamed Naghsh-Nilchi, Leah Sadr, et al.
Journal of Education and Health Promotion|August 30, 2019
Identification of the most appropriate variables for measuring the efficiency of Iranian public hospitals: Using Delphi techniqueAziz Rezapour, Zeynab Foroughi, Niusha Shahidi Sadeghi, et al.
Nature Communications|January 14, 2025
Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordingsKeivan Rahmani, Yang Yang, Ethan Paul Foster, et al.
ACS Nano|July 9, 2024
Engineering the Cellular Microenvironment: Integrating Three-Dimensional Nontopographical and Two-Dimensional Biochemical Cues for Precise Control of Cellular BehaviorEinollah Sarikhani, Dhivya Pushpa Meganathan, Anne-Kathrine Kure Larsen, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Journal of Hazardous Materials|April 1, 2022
Prediction of heel build-up on activated carbon using machine learningKeivan Rahmani, Alireza Haghighat Mamaghani, Zaher Hashisho, et al.
International Journal of Biological Macromolecules|May 4, 2018
Doxorubicin hydrochloride - Loaded electrospun chitosan/cobalt ferrite/titanium oxide nanofibers for hyperthermic tumor cell treatment and controlled drug releaseMaryam Radmansouri, Ehsan Bahmani, Einollah Sarikhani, et al.
Nature Nanotechnology|October 15, 2025
Nanosensors for real-time intracellular analyticsEinollah Sarikhani, Kuldeep Mahato, Ana Casanova, et al.
Journal of Hazardous Materials|July 19, 2024
Simultaneous effect of oxygen impurity and flow rate of purge gas on adsorption capacity of and heel buildup on activated carbon during cyclic adsorption-desorption of VOCKeivan Rahmani, Alireza Haghighat Mamaghani, Arman Peyravi, et al.
Journal of Hazardous Materials|December 28, 2020
Mesoporous MCM-41 derived from natural Opoka and its application for organic vapors removalYangyu Liu, Chunquan Li, Arman Peyravi, et al.
Dento Maxillo Facial Radiology|January 8, 2025
Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imagingBaiyan Qi, Lekshmi Sasi, Suhel Khan, et al.
Small (Weinheim an Der Bergstrasse, Germany)|November 7, 2025
Label-Free Detection of Nuclear Envelope Nucleoporation using 2D Morphological Embeddings and Machine LearningKeivan Rahmani, Hamed Naghsh-Nilchi, Leah Sadr, et al.
Journal of Education and Health Promotion|August 30, 2019
Identification of the most appropriate variables for measuring the efficiency of Iranian public hospitals: Using Delphi techniqueAziz Rezapour, Zeynab Foroughi, Niusha Shahidi Sadeghi, et al.
Nature Communications|January 14, 2025
Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordingsKeivan Rahmani, Yang Yang, Ethan Paul Foster, et al.
ACS Nano|July 9, 2024
Engineering the Cellular Microenvironment: Integrating Three-Dimensional Nontopographical and Two-Dimensional Biochemical Cues for Precise Control of Cellular BehaviorEinollah Sarikhani, Dhivya Pushpa Meganathan, Anne-Kathrine Kure Larsen, et al.
Pageof 2