Nishant Ravikumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
6
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PacificVis | Identifying OM4AnI's Effectiveness in the Context of Explainable AI. | Liqun Liu, Leonid V. Bogachev, Mahdi Rezaei, Nishant Ravikumar, Arjun Khara, Mohsen Azarmi, Roy A. Ruddle |
| 2024 | BMVC | Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. | Oliver Mills, Nishant Ravikumar, Philip G. Conaghan, Samuel D. Relton |
| 2024 | COLING | Enhancing Image-to-Text Generation in Radiology Reports through Cross-modal Multi-Task Learning. | Nurbanu Aksoy, Nishant Ravikumar, Serge Sharoff |
| 2024 | MICCAI | Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. | Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar |
| 2024 | MICCAI | Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. | Cynthia Maldonado Garca, Arezoo Zakeri, Alejandro F. Frangi, Nishant Ravikumar |
| 2023 | MICCAI | Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. | Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila |
| 2023 | MICCAI | Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. | Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila |
| 2023 | MICCAI | GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. | Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang |
| 2023 | MICCAI | A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. | Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi |
| 2023 | MICCAI | Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. | Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi |
| 2022 | CVPR | Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. | Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg |
| 2022 | MICCAI | Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. | Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang |
| 2022 | MICCAI | Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. | Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni |
| 2021 | MICCAI | Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. | Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi |
| 2021 | MICCAI | Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. | Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar |
| 2021 | MICCAI | A Deep Discontinuity-Preserving Image Registration Network. | Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi |
| 2021 | MICCAI | Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. | Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni |
| 2021 | MICCAI | Flip Learning: Erase to Segment. | Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni |
| 2021 | MICCAI | Style Curriculum Learning for Robust Medical Image Segmentation. | Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Vctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni |
| 2021 | MICCAI | Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. | Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni |
| 2020 | ICASSP | The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. | Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier |
| 2020 | MICCAI | Federated Simulation for Medical Imaging. | Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler |
| 2019 | MICCAI | Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. | Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshfer, Joachim Eckert, Michael Shling, Axel Schmermund, Andreas Maier |
| 2019 | MICCAI | A Divide-and-Conquer Approach Towards Understanding Deep Networks. | Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier |
| 2019 | MICCAI | Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. | Sulaiman Vesal, Nishant Ravikumar, Andreas Maier |
| 2018 | MICCAI | Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. | Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig, Andreas K. Maier |
| 2018 | MICCAI | A Multi-task Framework for Skin Lesion Detection and Segmentation. | Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier |
| 2018 | MICCAI | Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. | Sulaiman Vesal, Nishant Ravikumar, Andreas Maier |
| 2018 | MICCAI | Resolve Intraoperative Brain Shift as Imitation Game. | Xia Zhong, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier |
| 2017 | MICCAI | Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets. | Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor |
| 2016 | MICCAI | Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions. | Serkan imen, Ali Gooya, Nishant Ravikumar, Zeike A. Taylor, Alejandro F. Frangi |
| 2016 | MICCAI | A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes. | Nishant Ravikumar, Ali Gooya, Serkan imen, Alejandro F. Frangi, Zeike A. Taylor |