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S

Sreedhar Kollem

vit-ap university

17H指数
116论文数
918被引数
收录论文 25
发表时间
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Privacy preserving federated learning for brain tumor segmentation using multi institutional MRI data基于多机构MRI数据的脑肿瘤分割隐私保护联邦学习
errScientific Reports
IF3.9
err2026-09-15
err0
errOAAI
errB. Sanjeev; G. Deepika; Sreedhar Kollem; Gangaiah Perugu; Chennaiah Kate; Pushpa Rani
err分享
err收藏
AI-Driven Transfer Learning for Medical Imaging and Sensor-Based HealthcareAI驱动的医学影像与传感式医疗保健迁移学习
errArchives of Computational Methods in Engineering
IF12.1
err2026-07-22
err0
errOAAI
errPurshottam J. Assudani; A. Anny Leema; P. Balakrishnan; Sreedhar Kollem; Rohit Pachlor; Karen López-Linares Román; Iván Macía Oliver; Hossam Haick; Manish Bhaiyya
err分享
err收藏
A hybrid GAN-PDE framework with diffusion-guided residual attention for MRI brain image denoising一种具有扩散引导残差注意力的混合GAN-PDE框架用于MRI脑图像去噪
errComputational Biology and Chemistry
IF3.1
err2026-07-01
err0
PREAI
errKollem, Sreedhar; Peddakrishna, Samineni; Kumar, Satrughan; Baronia, Arpita
err分享
err收藏
A heuristic-inspired spatial ViT-based adaptive 3D efficient Unet++ module for volumetric brain tumour segmentation model with 3D brain images基于启发式算法的空间ViT自适应3D高效U-Net++模块，用于基于3D脑图像的体积脑肿瘤分割模型
errBiomedical Signal Processing and Control
IF4.9
err2026-04-26
err0
PREAI
errTuniki Krishnaveni; Sreedhar Kollem
err分享
err收藏
A systematic review of transformer-enhanced UNet architectures for 3D medical image segmentation: Trends, challenges, and the ATD-TᵣEEv framework基于Transformer增强的UNet架构在3D医学图像分割中的系统综述：趋势、挑战与ATD-TᵣEEv框架
errComputational Biology and Chemistry
IF3.1
err2026-04-22
err0
PREAI
errTuniki Krishnaveni; Sreedhar Kollem
err分享
err收藏
An Optimal Feature Integration with Adaptive Hybrid Deep Learning Network for Human Brain Activity Interpretation During Yoga and Meditation Using EEG Signals基于EEG信号，在瑜伽和冥想期间进行人脑活动解释的最优特征融合与自适应混合深度学习网络
errIranian Journal of Science and Technology-Transactions of Electrical Engineering
IF1.4
err2026-03-01
err0
PREAI
errRamaraju, Bandari; Janapati, Ravichander; Kollem, Sreedhar
err分享
err收藏
Enhancing performance evaluation and ensemble methodology for early detection of heart disease with SHAP analysis基于SHAP分析的早期心脏病检测性能评估与集成方法提升
errEvolutionary Intelligence
IF2.6
err2026-02-28
err0
PREAI
errChandrasekhar, Nadikatla; Peddakrishna, Samineni; Kollem, Sreedhar
err分享
err收藏
An Intelligent Medical Image Denoising Approach Based on Region-Vision Transformer-Based Adaptive Mobile-Unet plus plus with Kalman Filter for Improved Clinical Diagnosis基于区域-视觉Transformer的适应性Mobile-Unet++与卡尔曼滤波相结合的智能医学图像去噪方法，以提升临床诊断
errInternational Journal of Computational Intelligence Systems
IF3
err2026-01-21
err0
PREAI
errPanaganti, Nagaraju; Kollem, Sreedhar
err分享
err收藏
A real-time learning-assisted charging strategy for lithium-ion batteries in electric vehicles一种用于电动汽车锂离子电池的实时学习辅助充电策略
errINTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
IF2.4
err2025-11-01
err0
errOAAI
errSuganya, R.; Joseph, L. M. I. Leo; Kollem, Sreedhar
err分享
err收藏
Research paper Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
errRESULTS IN ENGINEERING
IF7.9
err2025-03-01
err0
errOAAI
errChandrasekhar, Nadikatla; Narahari, Sujatha Canavoy; Kollem, Sreedhar; Peddakrishna, Samineni; Penchala, Archana; Chapa, Babji Prasad
err分享
err收藏
Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review了解电动汽车中的锂离子电池管理系统: 环境和健康影响，比较研究和未来趋势: 综述
errRESULTS IN ENGINEERING
IF7.9
err2024-12-01
err0
errOAAI
errSuganya, R.; Joseph, L. M. I. Leo; Kollem, Sreedhar
err分享
err收藏
A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
errBIOMEDICAL SIGNAL PROCESSING AND CONTROL
IF4.9
err2024-09-01
err2
PREAI
errKollem, Sreedhar; Sirigiri, Chandrasekhar; Peddakrishna, Samineni
err分享
err收藏
Non-invasive glucose prediction and classification using NIR technology with machine learning
errHELIYON
IF3.6
err2024-04-01
err6
errOAAI
errNaresh, M.; Nagaraju, V. Siva; Kollem, Sreedhar; Kumar, Jayendra; Peddakrishna, Samineni
err分享
err收藏
A fast computational technique based on a novel tangent sigmoid anisotropic diffusion function for image-denoising
errSOFT COMPUTING
IF2.5
err2024-02-07
err5
PREAI
errKollem, Sreedhar
err分享
err收藏
An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine
errMULTIMEDIA TOOLS AND APPLICATIONS
IF3
err2024-01-29
err5
PREAI
errKollem, Sreedhar
err分享
err收藏
Biodegradable sensors: A comprehensive review
errMEASUREMENT
IF5.6
err2023-09-01
err16
errOAAI
errSreejith, S.; Joseph, L. M. I. Leo; Kollem, Sreedhar; Vijumon, V. T.; Ajayan, J.
err分享
err收藏
Ferroelectric Field Effect Transistors (FeFETs): Advancements, challenges and exciting prospects for next generation Non-Volatile Memory (NVM) applications
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2023-06-01
err22
PREAI
errAjayan, J.; Mohankumar, P.; Nirmal, D.; Joseph, L. M. I. Leo; Bhattacharya, Sandip; Sreejith, S.; Kollem, Sreedhar; Rebelli, Shashank; Tayal, Shubham; Mounika, B.
err分享
err收藏
AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz-based data augmentation
errINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
IF2.5
err2023-03-20
err13
PREAI
errKollem, Sreedhar; Reddy, Katta Ramalinga; Prasad, Ch. Rajendra; Chakraborty, Avishek; Ajayan, J.; Sreejith, S.; Bhattacharya, Sandip; Joseph, L. M. I. Leo; Janapati, Ravichander
err分享
err收藏
A novel diffusivity function-based image denoising for MRI medical images
errMULTIMEDIA TOOLS AND APPLICATIONS
IF3
err2023-03-01
err7
PREAI
errKollem, Sreedhar; Reddy, Katta Ramalinga; Rao, Duggirala Srinivasa
err分享
err收藏
Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage
errMULTIMEDIA TOOLS AND APPLICATIONS
IF3
err2022-10-19
err7
PREAI
errKollem, Sreedhar; Prasad, Ch Rajendra; Ajayan, J.; Malathy, V; Subbarao, Akkala
err分享
err收藏

研究方向

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合作学者
合作期刊
H
Hossam Haick
H 指数: 93 · 论文数: 436
J
J. Ajayan
H 指数: 32 · 论文数: 236
D
D. Nirmal
H 指数: 32 · 论文数: 200
S
Sandip Bhattacharya
H 指数: 31 · 论文数: 219
S
Shubham Tayal
H 指数: 21 · 论文数: 103
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