Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques. - Arjun Abhishek; Rajib Kumar Jha; Ruchi Sinha; Kamlesh Jha (Biomed. Signal Process. Control., 2022)

Effective WBC Segmentation Using Hybrid Loss. - Arjun Abhishek; Sagar Deep Deb; Rajib Kumar Jha; Ruchi Sinha; Kamlesh Jha (NCC, 2023)

2-Stage Convolutional Neural Network for Breast Cancer Detection from Ultrasound Images. - Sagar Deep Deb; Arjun Abhishek; Rajib Kumar Jha (NCC, 2023)

Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization. - Arjun Abhishek; Rajib Kumar Jha; Ruchi Sinha; Kamlesh Jha (Biomed. Signal Process. Control., 2023)

Severity estimation of Coffee leaf disease using U-Net and pixel counting mechanism. - Sagar Deep Deb; Rachit Kashyap; Arjun Abhishek; Rajib Kumar Jha (ICMLSC, 2024)

Enhancing White Blood Cell Segmentation with SE-UNet: A Channel-Wise Attention Approach for Improved Precision in Blood Smear Analysis. - Arjun Abhishek; Sagar Deep Deb; Rajib Kumar Jha; Ruchi Sinha; Kamlesh Jha (NCC, 2025)

Ensemble learning using Gompertz function for leukemia classification. - Arjun Abhishek; Sagar Deep Deb; Rajib Kumar Jha; Ruchi Sinha; Kamlesh Jha (Biomed. Signal Process. Control., 2025)