Layers for Effective Volume Rendering. - Sundaresan Raman; Oleg Mishchenko; Roger Crawfis (VG/PBG@SIGGRAPH, 2008)

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

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)

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 (ISBI, 2010)

Distributed visualization framework architecture. - Oleg Mishchenko; Sundaresan Raman; Roger Crawfis (VDA, 2010)

Analyzing Surface Defects in Apples Using Gabor Features. - Puneet Jolly; Sundaresan Raman (SITIS, 2016)

Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks. - Subham Kumar; Sundaresan Raman (SocProS (1), 2018)

Capturing variations in nuclear phenotypes. - Sundaresan Raman; Shantanu Singh; Thierry Pécot; Enrico Caserta; Kun Huang 001; Jens Rittscher; Gustavo Leone; Raghu Machiraju (J. Comput. Sci., 2019)

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)

Comparison of various fractal analysis methods for retinal images. - Deepika V.; V. Jeyalakshmi; P. Latha; Rajiv Raman 004; S. Srinivasalu; Janani Surya R; Sundaresan Raman; K. S. Kandle (Biomed. Signal Process. Control., 2021)

SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification. - Rohit Ramaprasad; Sundaresan Raman (COMAD/CODS, 2022)

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

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)

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 004 (WIREs Data. Mining. Knowl. Discov., 2023)

BITS Pilani at SemEval-2024 Task 1: Using text-embedding-3-large and LaBSE embeddings for Semantic Textual Relatedness. - Dilip Venkatesh; Sundaresan Raman (SemEval@NAACL, 2024)