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Publication search results
found 263 matches
- 2024
- Emma M. Millon, Ali E. Haddad, Han Yan M. Chang, Laleh Najafizadeh, Tracey J. Shors:
The Feeling of Time Passing Is Associated with Recurrent Sustained Activity and Theta Rhythms Across the Cortex. Brain Connect. 14(1): 39-47 (2024) - Tiago Augusto Fontana, Erfan Aghaeekiasaraee, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, Laleh Behjat, José Luís Güntzel:
ILPGRC: ILP-Based Global Routing Optimization With Cell Movements. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 352-365 (2024) - Yalcin Tur, Jasmine Vu, Selam Waktola, Alpay Medetalibeyoglu, Laleh Golestanirad, Ulas Bagci:
Prediction of MRI-Induced Power Absorption in Patients with DBS Leads. CBMS 2024: 490-495 - József Mezei, Laleh Davoodi, Shahrokh Nikou:
Customer Review Analysis of Online E-commerce Platforms - A Configurational Approach. HICSS 2024: 1476-1485 - Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew Bdadley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4 - Tayeb Zaidi, Francesca Marturano, Giorgio Bonmassar, Laleh Golestanirad:
Reduction of Medical Device Heating During Mri At 1.5 T and 3 T: Design and Experimental Validation of A New Lead Construct. ISBI 2024: 1-5 - Laleh Khajehzadeh, Hamid Barati, Ali Barati:
L2AI: lightweight three-factor authentication and authorization in IOMT blockchain-based environment. CoRR abs/2407.12187 (2024) - Laleh Jalilian, Daniel McDuff, Achuta Kadambi:
The Potential and Perils of Generative Artificial Intelligence for Quality Improvement and Patient Safety. CoRR abs/2407.16902 (2024) - 2023
- Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi:
Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access 11: 85812-85821 (2023) - Amir Arqand, Laleh Memarzadeh, Stefano Mancini:
Energy-Constrained LOCC-Assisted Quantum Capacity of the Bosonic Dephasing Channel. Entropy 25(7): 1001 (2023) - Susanta Das, Laleh Dinpazhoh, Kiyoto Aramis Tanemura, Kenneth M. Merz Jr.:
Rapid and Automated Ab Initio Metabolite Collisional Cross Section Prediction from SMILES Input. J. Chem. Inf. Model. 63(16): 4995-5000 (2023) - Erfan Aghaeekiasaraee, Aysa Fakheri Tabrizi, Tiago Augusto Fontana, Renan Netto, Sheiny Fabre Almeida, Upma Gandhi, José Luís Güntzel, David T. Westwick, Laleh Behjat:
CRP2.0: A Fast and Robust Cooperation between Routing and Placement in Advanced Technology Nodes. ACM Trans. Design Autom. Electr. Syst. 28(5): 79:1-79:42 (2023) - Ali E. Haddad, Laleh Najafizadeh:
The Discriminative Discrete Basis Problem: Definitions, Algorithms, Benchmarking, and Application to Brain's Functional Dynamics. IEEE Trans. Signal Process. 71: 1-16 (2023) - Pia Sanpitak, Bhumi Bhusal, Jasmine Vu, Laleh Golestanirad:
Low-field MRI's Spark on Implant Safety: A Closer Look at Radiofrequency Heating. EMBC 2023: 1-5 - Ashwini Subramanian, Laleh Najafizadeh:
Hierarchical Classification Strategy for Mitigating the Impact of The Presence of Pain in fNIRS-based BCIs. EMBC 2023: 1-4 - Tayeb Zaidi, Giorgio Bonmassar, Laleh Golestanirad:
Multi-Segment Leads To Reduce RF Heating in MRI: A Computational Evaluation at 1.5T and 3T. EMBC 2023: 1-4 - Upma Gandhi, Erfan Aghaeekiasaraee, Ismail S. K. Bustany, Payam Mousavi, Matthew E. Taylor, Laleh Behjat:
RL-Ripper: : A Framework for Global Routing Using Reinforcement Learning and Smart Net Ripping Techniques. ACM Great Lakes Symposium on VLSI 2023: 197-201 - Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz:
MLHOps: Machine Learning for Healthcare Operations. CoRR abs/2305.02474 (2023) - Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi:
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR abs/2305.04422 (2023) - Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang:
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR abs/2309.05088 (2023) - Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari:
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR abs/2311.12560 (2023) - 2022
- Zahra Karimian, Majid Reza Farrokhi, Mohsen Moghadami, Nahid Zarifsanaiey, Manoosh Mehrabi, Laleh Khojasteh, Nasim Salehi:
Medical education and COVID-19 pandemic: a crisis management model towards an evolutionary pathway. Educ. Inf. Technol. 27(3): 3299-3320 (2022) - Weinan Wang, Pedram Mohseni, Kevin L. Kilgore, Laleh Najafizadeh:
PulseDB: A large, cleaned dataset based on MIMIC-III and VitalDB for benchmarking cuff-less blood pressure estimation methods. Frontiers Digit. Health 4 (2022) - Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022) - Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi:
Texture images classification using improved local quinary pattern and mixture of ELM-based experts. Neural Comput. Appl. 34(24): 21583-21606 (2022) - Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Katerina Stanková, Alexander T. Pearson, Hannah Sophie Muti, Christian Trautwein, Heiko Enderling, Jan Poleszczuk, Jakob Nikolas Kather:
Classical mathematical models for prediction of response to chemotherapy and immunotherapy. PLoS Comput. Biol. 18(2) (2022) - Valérie Marot-Lassauzaie, Brigitte Joanne Bouman, Fearghal Declan Donaghy, Yasmin Demerdash, Marieke Alida Gertruda Essers, Laleh Haghverdi:
Towards reliable quantification of cell state velocities. PLoS Comput. Biol. 18(9): 1010031 (2022) - Renan Netto, Sheiny Fabre, Tiago Augusto Fontana, Vinicius S. Livramento, Laércio Lima Pilla, Laleh Behjat, José Luís Güntzel:
Algorithm Selection Framework for Legalization Using Deep Convolutional Neural Networks and Transfer Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1481-1494 (2022) - Amin Habibnejad Korayem, Alireza Pazooki, Laleh Durali, Amir Khajepour, Baris Fidan, Anushya Viraliur Ponnuswami, Sepehr Pourrezaei Khaligh:
Hitch Angle Estimation of a Towing Vehicle With Arbitrary Configuration. IEEE Trans. Intell. Transp. Syst. 23(7): 7535-7546 (2022)
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