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Talks

2015 InSDB-2015 Biennial meeting, CCMB, India- delivered a research talk 2016 Delivered talk on- Imaging at greater depth- Advancements in the genetic labeling techniques 2016 Delivered talk on- A novel muscle stem cell- Paradigm shift in the muscle development 2016 Flymeet, IIT Kanpur, India- Talks...

Paper accepted at ACM ICAIF 2025

Evaluating the Ethical Judgment of Large Language Models in Financial Market Abuse Cases has been accepted at the 6th ACM International Conference on AI in Finance!

Guanlan (Lan) Dong, PhD

Lan is a PhD student in the Bioinformatics and Integrative Genomics (BIG) program at Harvard University. She graduated from Washington University in St. Louis in 2019 with a degree in Mathematics and Computer Science. She is interested in studying the role of somatic mutations in aging and diseased...

Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

Momeny, Mohammad, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, and Ghassan Hamarneh. 2021. “Learning-to-Augment Strategy Using Noisy and Denoised Data: Improving Generalizability of Deep CNN for the Detection of COVID-19 in X-Ray Images”. Computers in Biology and Medicine 136: 104704.