BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual Relatedness - Dilip Venkatesh; Sundaresan Raman (Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval@NAACL 2024, Mexico City, Mexico, June 20-21, 2024, 2024)

Use of artificial intelligence algorithms to predict systemic diseases from retinal images - Rehana Khan; Janani Surya R; Maitreyee Roy; M. N. Swathi Priya; Sashwanthi Mohan; Sundaresan Raman; Akshay Raman; Abhishek Vyas; Rajiv Raman (WIREs Data. Mining. Knowl. Discov., 2023)

A low power consumption mobile based IoT framework for real-time classification and segmentation for apple disease - Sundaresan Raman; Amit Chougule; Vinay Chamola (Microprocess. Microsystems, 2022)

LWCNN: a lightweight convolutional neural network for agricultural crop protection - Sundaresan Raman; Manan Soni; Rohit Ramaprasad; Vinay Chamola (Multim. Tools Appl., 2022)

SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification - Rohit Ramaprasad; Sundaresan Raman (CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022, 2022)

Comparison of various fractal analysis methods for retinal images - Deepika V.; V. Jeyalakshmi; P. Latha; Rajiv Raman; S. Srinivasalu; Janani Surya R; Sundaresan Raman; K. S. Kandle (Biomed. Signal Process. Control., 2021)

Hybrid computational intelligence algorithms and their applications to detect food quality - Lavika Goel; Sundaresan Raman; Subham Swastik Dora; Anirudh Bhutani; A. S. Aditya; Abhinav Mehta (Artif. Intell. Rev., 2020)

Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation - Gaurang Bansal; Vinay Chamola; Pratik Narang; Subham Kumar; Sundaresan Raman (IET Image Process., 2020)

Capturing variations in nuclear phenotypes - Sundaresan Raman; Shantanu Singh; Thierry Pécot; Enrico Caserta; Kun Huang; Jens Rittscher; Gustavo Leone; Raghu Machiraju (J. Comput. Sci., 2019)

Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks - Subham Kumar; Sundaresan Raman (Soft Computing for Problem Solving - SocProS 2018, Volume 1, VIT Vellore, India, December 17-19, 2018, 2018)

Analyzing Surface Defects in Apples Using Gabor Features - Puneet Jolly; Sundaresan Raman (12th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2016, Naples, Italy, November 28 - December 1, 2016, 2016)

Analysis of spatial variation of nuclear morphology in tissue microenvironments - Shantanu Singh; Sundaresan Raman; Enrico Caserta; Gustavo Leone; Michael C. Ostrowski; Jens Rittscher; Raghu Machiraju (Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010, 2010)

Distributed visualization framework architecture - Oleg Mishchenko; Sundaresan Raman; Roger Crawfis (Visualization and Data Analysis, VDA 2010, San Jose, CA, USA, January 18-19, 2010, 2010)

Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness - Mithun N. Prasad; Matthew S. Brown; Chiayi Ni; Daniel Margolis; Michael Douek; Sundaresan Raman; David Lu; Jonathan G. Goldin; Simon K. Warfield (J. Signal Process. Syst., 2009)

Quality Isosurface Mesh Generation Using an Extended Marching Cubes Lookup Table - Sundaresan Raman; Rephael Wenger (Comput. Graph. Forum, 2008)

Layers for Effective Volume Rendering - Sundaresan Raman; Oleg Mishchenko; Roger Crawfis (Eurographics / IEEE VGTC Symposium on Volume and Point-Based Graphics - 7th International Symposium on Volume Graphics, 5th Symposium on Point-Based Graphics, VG/PBG@SIGGRAPH 2008, Los Angeles, CA, USA, August 10-11, 2008, 2008)