Eva Prakash

According to our database, Eva Prakash authored at least 8 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography.

Eva Prakash, Yunhe Gao, Chong Wang, Justin Xu, Neal Prakash, Arne Edward Michalson, Seena Dehkharghani, Eun Kyoung Hong, Julie Bauml, Roger Boodoo, Jean-Benoit Delbrouck, Sophie Ostmeier, Curtis Langlotz

CoRR, May, 2026

2025

Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods.

Eva Prakash, Maayane Attias, Pierre J. Chambon, Justin Xu, Steven Q. H. Truong, Jean-Benoit Delbrouck, Tessa Sundaram Cook, Curtis Langlotz

CoRR, November, 2025

Cost and Reward Infused Metric Elicitation.

Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi, Eva Prakash

CoRR, January, 2025

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis.

Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis Langlotz

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation.

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2022

Measuring Compositional Consistency for Video Question Answering.

Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory Genomics.

Eva Prakash, Avanti Shrikumar, Anshul Kundaje

Proceedings of the Machine Learning in Computational Biology Meeting, 2021

2019

GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs.

Avanti Shrikumar, Eva Prakash, Anshul Kundaje

Bioinform., 2019