Researcher Database

JAIN RAHUL KUMAR

Department / Course Graduate School of Information Science and Engineering

Title / Position Assistant Professor

Papers
1.	2023/12/11	Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images │ International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023 │ (Co-authored)
2.	2023/10	A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC │ (Co-authored)
3.	2023/10	Automatic Detection of Focal Liver Lesions in Multi-Phase CT Images Using One-Stage Object Detectors │ IEEE Global Conference on Consumer Electronics (GCCE) │ (Co-authored)
4.	2023/08	Adaptive Graph Convolutional Networks for Medical Image Segmentation │ International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023 │ (Co-authored)
5.	2023/07/28	A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation │ Bioengineering │ 10(8) (899) (Co-authored)
6.	2023/06/22	Ladder Fine-tuning approach for SAM integrating complementary network │ (Co-authored)
7.	2023/06/21	A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022 │ IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom) │ (Co-authored)
8.	2023/05/31	An Efficient Dual-Pooling Channel Attention Module for Weakly-Supervised Liver Lesion Classification on CT Images │ International KES Conference on Innovation in Medicine and Healthcare │ (Co-authored)
9.	2023/03/31	Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images │ IEEE Transactions on Emerging Topics in Computational Intelligence │ ,pp.1--14 (Co-authored)
10.	2022/10/28	A multi-head pseudo nodes based spatial–temporal graph convolutional network for emotion perception from GAIT │ Neurocomputing │ 511,pp.437--447 (Co-authored)
11.	2022/09/27	Unsupervised Domain Adaptation Approach for Liver Tumor Detection in Multi-phase CT Images │ 228,pp.61--78 (Co-authored)
12.	2022/09/08	Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images │ ,pp.1536--1539 (Co-authored)
13.	2022/07/06	Unsupervised Domain Adaptation with Adversarial Learning for Liver Tumors Detection in Multi-phase CT Images │ 308,pp.149--159 (Co-authored)
14.	2021/10/15	LogoNet: A Robust Layer-Aggregated Dual-Attention Anchorfree Logo Detection Framework with an Adversarial Domain Adaptation Approach │ Applied Sciences │ 11 (20) (Co-authored)
15.	2021/06/01	Weakly Supervised Logo Detection Using a Dual-Attention Dilated Residual Network │ Journal of the Institute of Image Electronics Engineers of Japan │ Vol.9 (No.1),pp.12-19 (Co-authored)
16.	2021/05/13	LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection │ ,pp.1--6 (Co-authored)
17.	2019/10/17	Clustering-Based Hybrid Approach for Multiclass Classification Using SVM │ ,pp.367–-377 (Co-authored)
18.	2018/09/13	Study of Classification Techniques on Medical Datasets │ 810,pp.557–-565 (Co-authored)
19.	2018/08/31	Majority-Based Classification in Distributed Environment │ 742,pp.321--332 (Co-authored)