Congratulations to IDiA lab members, Dheerendranath Battalapalli, Juhi Desai, and Gustavo Pineda (and co-authors) on the acceptance of their SPIE papers as oral presentations at SPIE Medical Imaging 2024 in San Diego, CA. Dheerendranath Battalapalli: …
Month: October 2023
Journal Club, October 31: Gargi, INVent
He S, Fent, Y, Grant PE, Ou Y. Segmentation ability map: Interpret deep features for medical image segmentation. Medical Image Analysis 84, 102726 (2023)
New Patent Issued to Pallavi Tiwari and Collaborators
Congratulations to Dr. Pallavi Tiwari and our collaborators, Drs. Anant Madabhushi, Jacob Antunes, Zhouping Wei, Satish E. Viswanath, and Charlems Alvarez Jimenez, for the issuance of their latest patent!
Journal Club, October 24: Gustavo & Dheeru, IDiA
Laurie M, Lu J. Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE. arXiv preprint arXiv: 2308.01362. 2023 Aug 2.
Pallavi Tiwari Invited to be Keynote Speaker for AI4Treat Workshop at MICCAI 2023
IDiA Director, Dr. Pallavi Tiwari was invited to be a keynote speaker at the Workshop on AI for Treatment Response Assessment and Prediction (AI4Treat) at MICCAI 2023 in Vancouver on October 13th. This workshop closed …
Pallavi Tiwari Co-Leads AI in Imaging and Medicine Symposium: Breaking Silos, Building Bridges
On Friday, October 6th, the IDiA lab attended a symposium on AI in Imaging and Medicine: Breaking Silos, Building Bridges, co-organized by IDiA Director, Dr. Pallavi Tiwari and Kyle Cranmer, and generously sponsored by the …
Journal Club, October 10: Charlems, INVent
Jiang, Y., Zhang, Z., Wang, W. et al. Biology-guided deep learning predicts prognosis and cancer immunotherapy response. Nat Commun 14, 5135 (2023).
Journal Club, September 26: Apoorva, IDiA
Zhou, Y., Chia, M.A., Wagner, S.K. et al. A foundation model for generalizable disease detection from retinal images. Nature (2023).
Journal Club, September 19: Leo, INVent
Li Z, Jiang Y, Lu M, Li R, Xia Y. Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. IEEE Trans Med Imaging. 2023 Sep; 42(9):2678-2689.
Journal Club, August 25: Gustavo, IDiA
Brocki L, Chung NC. Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models. Cancers (Basel). 2023 Apr 25;15(9):2459. doi: 10.3390/cancers15092459. For further details about the underlying Concept Bottleneck Model, Gustavo has provided …