Scholar
Aneesh Rangnekar
Google Scholar ID: 2UtY2BIAAAAJ
Research Fellow, Memorial Sloan Kettering Cancer Center
Citations & Impact
Citations
412
H-index
7
i10-index
5
Publications
20
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Developed brat (Brain Report Alignment Transformer), achieving state-of-the-art performance in image-text retrieval, tumor segmentation, Alzheimer’s classification, and enabling high-quality automatic MRI report generation
- Proposed RF-Deep, a random forest-based OOD detection method using deep features for robust lung cancer segmentation (FPR95 < 0.1%)
- Designed a pretrained hybrid transformer for cardiac substructure segmentation in contrast/non-contrast CTs, demonstrating zero-shot generalization from lung to breast cancer patients
- Demonstrated that large-scale self-supervised pretraining on heterogeneous CT scans significantly improves robustness in lung tumor segmentation (published in Medical Physics, 2025)
- Introduced DAGMaN, a novel self-supervised framework combining attention-guided masked image modeling and noisy teacher co-distillation for medical imaging (Medical Imaging with Deep Learning, 2025)
