Keerthi Ram
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
5
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis. | Divya Bharti, Sriprabha Ramanarayanan, Sadhana S, Kishore Kumar M, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam |
| 2025 | ICCV | MedSAM-Guided Curriculum Learning for White Matter Tract Segmentation in Block Face Imaging of Fetal Brain. | Athira Kalladayil Shibu, Sriprabha Ramanarayanan, Vinoth Kanna, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2025 | ICCV | DCEtriformer: A Hybrid Attention Transformer for DCE-MRI Synthesis in Prostate Imaging. | Sadhana S, Sriprabha Ramanarayanan, Kishore Kumar M, Keerthi Ram, Harsh Agarwal, Ramesh Venkatesan, Mohanasankar Sivaprakasam |
| 2025 | MICCAI | FastDTI: A 3D Scale-Arbitrary Super-Resolution Autoencoder Residual Dense Network for DTI. | Arihant Jain, Sriprabha Ramanarayanan, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2024 | CIBCB | Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs. | Bhumika Gupta, Pralaypati Ta, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2024 | CVPR | DCE-diff: Diffusion Model for Synthesis of Early and Late Dynamic Contrast-Enhanced MR Images from Non-Contrast Multimodal Inputs. | Kishore Kumar M, Sriprabha Ramanarayanan, Sadhana S, Arunima Sarkar, Matcha Naga Gayathri, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2023 | MICCAI | Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields. | K. H. Aqil, Tanvi Kulkarni, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2023 | MICCAI | Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors. | Sneha Sree C, Mohammad Al Fahim, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2023 | MICCAI | Diffusion Model Based Knee Cartilage Segmentation in MRI. | Veerasravanthi Mudiyam, Ayantika Das, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2023 | MICCAI | SDLFormer: A Sparse and Dense Locality-Enhanced Transformer for Accelerated MR Image Reconstruction. | Rahul G. S., Sriprabha Ramanarayanan, Mohammad Al Fahim, Keerthi Ram, Preejith S. P, Mohanasankar Sivaprakasam |
| 2022 | MICCAI | A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI. | Ayantika Das, Arun Palla, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2021 | MICCAI | MIST GAN: Modality Imputation Using Style Transfer for MRI. | JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam |
| 2020 | MICCAI | AutoSyncoder: An Adversarial AutoEncoder Framework for Multimodal MRI Synthesis. | JayaChandra Raju, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2019 | MICCAI | Liver Segmentation from Multimodal Images Using HED-Mask R-CNN. | Supriti Mulay, G. Deepika, S. Jeevakala, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2019 | MICCAI | Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation. | Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam |
| 2019 | MICCAI | Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction. | Balamurali Murugesan, Vijaya Raghavan S, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2018 | MICCAI | A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images. | Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam |
| 2017 | MICCAI | Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks. | Sharath M. Shankaranarayana, Keerthi Ram, Kaushik Mitra, Mohanasankar Sivaprakasam |