Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study

no code implementations • MIDL 2019 • Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan

In addition to the classification loss, an attention loss was added during training to help the network focus attention on PE.

Deep Learning based detection of Acute Aortic Syndrome in contrast CT images

no code implementations • 3 Apr 2020 • Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek

Acute aortic syndrome (AAS) is a group of life threatening conditions of the aorta.

Computed Tomography (CT) Multiple Instance Learning

Variational Bayes: A report on approaches and applications

no code implementations • 26 May 2019 • Manikanta Srikar Yellapragada, Chandra Prakash Konkimalla

Deep neural networks have achieved impressive results on a wide variety of tasks.

Bayesian Inference Continual Learning +3

Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application

no code implementations • 20 Nov 2017 • Chandra Prakash Konkimalla, Manikanta Srikar Yellapragada, Trishal Gayam, Souraj Mandal, Sumohana S. Channappayya

To address the challenge of OCR for Telugu, we make three contributions in this work: (i) a database of Telugu characters, (ii) a deep learning based OCR algorithm, and (iii) a client server solution for the online deployment of the algorithm.

Optical Character Recognition Optical Character Recognition (OCR) +1