Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions. - Saptarshi Chatterjee; Debangshu Dey; Sugata Munshi (Biomed. Signal Process. Control., 2018)

Extraction of features from cross correlation in space and frequency domains for classification of skin lesions. - Saptarshi Chatterjee; Debangshu Dey; Sugata Munshi; Surajit Gorai (Biomed. Signal Process. Control., 2019)

Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification. - Saptarshi Chatterjee; Debangshu Dey; Sugata Munshi (Comput. Methods Programs Biomed., 2019)

Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures. - Soumyadeep Pal; Saptarshi Chatterjee; Debangshu Dey; Sugata Munshi (Multidimens. Syst. Signal Process., 2019)

An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image. - Amitava Halder; Saptarshi Chatterjee; Debangshu Dey; Surajit Kole; Sugata Munshi (Comput. Methods Programs Biomed., 2020)

Finding High-Value Training Data Subset Through Differentiable Convex Programming. - Soumi Das; Arshdeep Singh; Saptarshi Chatterjee; Suparna Bhattacharya; Sourangshu Bhattacharya (ECML/PKDD (2), 2021)

Dermatological expert system implementing the ABCD rule of dermoscopy for skin disease identification. - Saptarshi Chatterjee; Debangshu Dey; Sugata Munshi; Surajit Gorai (Expert Syst. Appl., 2021)

Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification. - Amitava Halder; Saptarshi Chatterjee; Debangshu Dey (Biomed. Signal Process. Control., 2022)

PY-Net: Rethinking segmentation frameworks with dense pyramidal operations for optic disc and cup segmentation from retinal fundus images. - Rajarshi Bhattacharya; Rukhshanda Hussain; Agniv Chatterjee; Dwipayan Paul; Saptarshi Chatterjee; Debangshu Dey (Biomed. Signal Process. Control., 2023)