Amirhessam Tahmassebi - Publications, H-index & Citations

Amirhessam Tahmassebi

State University System of Florida

14H指数

54论文数

1.1K被引数

收录论文 6

发表时间

XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions XGBoost模型作为去除PFAS的有效机器学习方法: 材料特性和操作条件的影响

ENVIRONMENTAL RESEARCH

IF7.7

2022-12-01

PREAI

Karbassiyazdi, Elika; Fattahi, Fatemeh; Yousefi, Negin; Tahmassebi, Amirhessam; Taromi, Arsia Afshar; Manzari, Javad Zyaie; Gandomi, Amir H.; Altaee, Ali; Razmjou, Amir

Evolutionary Machine Learning: A Survey 进化机器学习: 一项调查

ACM COMPUTING SURVEYS

IF28

2021-10-04

OAAI

Telikani, Akbar; Tahmassebi, Amirhessam; Banzhaf, Wolfgang; Gandomi, Amir H.

AI-Enhanced Diagnosis of Challenging Lesions in BreastMRI: A Methodology and Application Primer

JOURNAL OF MAGNETIC RESONANCE IMAGING

IF3.5

2020-08-30

OAAI

Meyer-Base, Anke; Morra, Lia; Tahmassebi, Amirhessam; Lobbes, Marc; Meyer-Base, Uwe; Pinker, Katja

Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients 机器学习联合乳腺多参数磁共振成像对乳腺癌患者新辅助化疗疗效及生存结局的早期预测

INVESTIGATIVE RADIOLOGY

IF8

2019-02-01

217

OAAI

Tahmassebi, Amirhessam; Wengert, Georg J.; Helbich, Thomas H.; Bago-Horvath, Zsuzsanna; Alaei, Sousan; Bartsch, Rupert; Dubsky, Peter; Balizen, Pascal; Clausen, Paola; Kapetas, Panagiotis; Morris, Elizabeth A.; Meyer-Baese, Anke; Pinker, Katja

Magnetic resonance imaging of the breast and radiomics analysis for an improved early prediction of the response to neoadjuvant chemotherapy in breast cancer patients

CANCER RESEARCH

IF16.6

2018-07-01

PREAI

Pinker-Domenig, Katja; Tahmassebi, Amirhessam; Wengert, Georg; Helbich, Thomas H.; Bago-Horvath, Zsuzsanna; Morris, Elizabeth A.; Meyer-Baese, Anke

Building energy consumption forecast using multi-objective genetic programming

MEASUREMENT

IF5.6

2018-03-01

PREAI

Tahmassebi, Amirhessam; Gandomi, Amir H.

研究方向