Zobrazeno 1 - 10
of 2 112
pro vyhledávání: '"Juyal A"'
Autor:
Ottapilakkal, Vishnu, Juyal, Abhishek, Sundaram, Suresh, Vuong, Phuong, Beck, Collin, Dudeck, Noel L., Bencherif, Amira, Loiseau, Annick, Fossard, Frédéric, Mérot, Jean-Sebastien, Chapron, David, Kauffmann, Thomas H., Salvestrini, Jean-Paul, Voss, Paul L., de Heer, Walt A., Berger, Claire, Ougazzaden, Abdallah
Hexagonal boron nitride encapsulation is the method of choice for protecting graphene from environmental doping and impurity scattering. It was previously demonstrated that metal-organic vapor phase epitaxy (MOVPE) grows epitaxially ordered, uniform
Externí odkaz:
http://arxiv.org/abs/2409.04709
Autor:
Le, Nhat, Shen, Ciyue, Shah, Chintan, Martin, Blake, Shenker, Daniel, Padigela, Harshith, Hipp, Jennifer, Grullon, Sean, Abel, John, Pokkalla, Harsha Vardhan, Juyal, Dinkar
Mechanistic interpretability has been explored in detail for large language models (LLMs). For the first time, we provide a preliminary investigation with similar interpretability methods for medical imaging. Specifically, we analyze the features fro
Externí odkaz:
http://arxiv.org/abs/2407.10785
Publikováno v:
ITM Web of Conferences, Vol 53, p 02005 (2023)
Deep learning techniques are gradually being utilized in many fields. Healthcare is a field in which deep learning can thrive. The study conducted focuses on using deep learning object detection models to detect dental cavities in an individual’s m
Externí odkaz:
https://doaj.org/article/a86e99ec7f3e4a8e81215697bfa4894c
Autor:
Juyal, Dinkar, Padigela, Harshith, Shah, Chintan, Shenker, Daniel, Harguindeguy, Natalia, Liu, Yi, Martin, Blake, Zhang, Yibo, Nercessian, Michael, Markey, Miles, Finberg, Isaac, Luu, Kelsey, Borders, Daniel, Javed, Syed Ashar, Krause, Emma, Biju, Raymond, Sood, Aashish, Ma, Allen, Nyman, Jackson, Shamshoian, John, Chhor, Guillaume, Sanghavi, Darpan, Thibault, Marc, Yu, Limin, Najdawi, Fedaa, Hipp, Jennifer A., Fahy, Darren, Glass, Benjamin, Walk, Eric, Abel, John, Pokkalla, Harsha, Beck, Andrew H., Grullon, Sean
Pathology is the study of microscopic inspection of tissue, and a pathology diagnosis is often the medical gold standard to diagnose disease. Pathology images provide a unique challenge for computer-vision-based analysis: a single pathology Whole Sli
Externí odkaz:
http://arxiv.org/abs/2405.07905
Autor:
Nguyen, Tan H., Juyal, Dinkar, Li, Jin, Prakash, Aaditya, Nofallah, Shima, Shah, Chintan, Gullapally, Sai Chowdary, Yu, Limin, Griffin, Michael, Sampat, Anand, Abel, John, Lee, Justin, Taylor-Weiner, Amaro
Differences in staining and imaging procedures can cause significant color variations in histopathology images, leading to poor generalization when deploying deep-learning models trained from a different data source. Various color augmentation method
Externí odkaz:
http://arxiv.org/abs/2306.04527
In 2000, Hafner and Stopple proved a conjecture of Zagier which states that the constant term of the automorphic function $|\Delta(x+iy)|^2$ i.e., the Lambert series $\sum_{n=1}^\infty \tau(n)^2 e^{-4 \pi n y}$ can be expressed in terms of the non-tr
Externí odkaz:
http://arxiv.org/abs/2305.07412
Autor:
Gullapally, Sai Chowdary, Zhang, Yibo, Mittal, Nitin Kumar, Kartik, Deeksha, Srinivasan, Sandhya, Rose, Kevin, Shenker, Daniel, Juyal, Dinkar, Padigela, Harshith, Biju, Raymond, Minden, Victor, Maheshwari, Chirag, Thibault, Marc, Goldstein, Zvi, Novak, Luke, Chandra, Nidhi, Lee, Justin, Prakash, Aaditya, Shah, Chintan, Abel, John, Fahy, Darren, Taylor-Weiner, Amaro, Sampat, Anand
Machine learning algorithms have the potential to improve patient outcomes in digital pathology. However, generalization of these tools is currently limited by sensitivity to variations in tissue preparation, staining procedures and scanning equipmen
Externí odkaz:
http://arxiv.org/abs/2305.02401
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Autor:
Juyal, Dinkar, Shingi, Siddhant, Javed, Syed Ashar, Padigela, Harshith, Shah, Chintan, Sampat, Anand, Khosla, Archit, Abel, John, Taylor-Weiner, Amaro
Multiple Instance learning (MIL) models have been extensively used in pathology to predict biomarkers and risk-stratify patients from gigapixel-sized images. Machine learning problems in medical imaging often deal with rare diseases, making it import
Externí odkaz:
http://arxiv.org/abs/2303.13405
Autor:
Brijesh Prasad, Rekha Goswami, Abhilasha Mishra, Fateh Singh Gill, Sakshi Juyal, Anjas Asrani, Ankur Jain, Rajesh Sahu, Munish Kumar Gupta, Mohit Bajaj, Ievgen Zaitsev
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This study investigates the use of carbonized Himalayan Chir Pine Biomass, known as Chir Pine Activated Carbon (CPAC), as an eco-friendly and cost-effective adsorbent for efficient industrial dye removal, with a focus on environmental sustai
Externí odkaz:
https://doaj.org/article/d64270f76d8f42af97d489a1c57d7dad
Controlled spin transport in magnetic stacks is required to realize pure spin current-driven logic and memory devices. The control over the generation and detection of the pure spin current is achieved by tuning the spin to charge conversion efficien
Externí odkaz:
http://arxiv.org/abs/2301.02370