日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Identification of Cholesterol in Plaques of Atherosclerotic Using Magnetic Resonance Spectroscopy and 1D U-Net Architecture

利用磁共振波谱和一维U-Net架构识别动脉粥样硬化斑块中的胆固醇

Myśliwiec, Angelika; Leksa, Dawid; Paul, Avijit; Xavierselvan, Marvin; Truszkiewicz, Adrian; Bartusik-Aebisher, Dorota; Aebisher, David

Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN

基于轻量级多尺度卷积神经网络的可解释且安全的联邦学习,用于增强隐私保护的皮肤癌分类。

Sayeed, Abdullah Siddique Mohammad; Birahim, Shaikh Afnan; Ullah, Md Shafiq; Islam, Yamina; Paul, Avijit; Hasan, Mohammad Asif; Ahsan, Mominul; Kowalski, Marcin

Empowering photodynamic therapy with artificial intelligence: current trends and future directions

利用人工智能赋能光动力疗法:当前趋势与未来方向

Paul, Avijit; Xavierselvan, Marvin; Aebisher, David; Kubrak, Tomasz; Bartusik-Aebisher, Dorota; Mallidi, Srivalleesha

Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures

提高基于LED的实时光声成像的信噪比:基于CNN的深度学习架构的比较研究

Paul, Avijit; Mallidi, Srivalleesha

Real-time jute leaf disease classification using an explainable lightweight CNN via a supervised and semi-supervised self-training approach

基于可解释轻量级卷积神经网络的监督式和半监督式自训练方法的黄麻叶片病害实时分类

Jannat, Meftahul; Uddin, Md Shahab; Hasan, Mohammad Asif; Alam, Md Saimun; Paul, Avijit; Chowdhury, Muhammad E H; Haider, Julfikar

Reduction of photobleaching effects in photoacoustic imaging using noise agnostic, platform-flexible deep-learning methods

利用与噪声无关、平台灵活的深度学习方法减少光声成像中的光漂白效应

Paul, Avijit; Nguyen, Christopher; Hasan, Tayyaba; Mallidi, Srivalleesha

From sea to cure: Discovery of marine-derived therapeutics against Fusarium solani in shrimps for enhancing aquaculture sustainability

从海洋到疗愈:发现海洋来源的抗镰刀菌疗法,以增强虾类养殖的可持续性

Siam, Abdullah Al; Paul, Avijit Kumer; Joyoti, Shanjida Akter; Hossain, Md Ifteker; Siddiquee, Noimul Hasan; Zaker, Bushra Binte; Farabi, Al-; Paul, Shyamal Kumar

Interaction of SMAC with a survivin-derived peptide alters essential cancer hallmarks: Tumor growth, inflammation, and immunosuppression.

SMAC 与 survivin 衍生肽的相互作用改变了癌症的重要特征:肿瘤生长、炎症和免疫抑制

Santhanam Manikandan, Kumar Pandey Swaroop, Shteinfer-Kuzmine Anna, Paul Avijit, Abusiam Nur, Zalk Ran, Shoshan-Barmatz Varda

Prevalence and risk factors of depressive symptoms in the postpartum period: An experience from urban West Bengal, India

印度西孟加拉邦城市地区产后抑郁症状的患病率和危险因素

Roy, Sunetra K; Majumdar, Sukanta; Singh, Rashmi; Paul, Avijit

U-Net enhanced real-time LED-based photoacoustic imaging

U-Net增强型实时LED光声成像

Paul, Avijit; Mallidi, Srivalleesha