32 citations · 50 across the 7 of their papers we have counts for
7 papers
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax
Benedikt Graf, Arkadiusz Sitek, Amin Katouzian +5
Chest x-ray imaging is widely used for the diagnosis of pneumothorax and there has been significant interest in developing automated methods to assist in image interpretation. We p…
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet +3
Training deep fully convolutional neural networks (F-CNNs) for semantic image segmentation requires access to abundant labeled data. While large datasets of unlabeled image data ar…
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
Abhijit Guha Roy, Sailesh Conjeti, Sri Phani Krishna Karri +4
Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional de…
Learning Robust Hash Codes for Multiple Instance Image Retrieval
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian +1
In this paper, for the first time, we introduce a multiple instance (MI) deep hashing technique for learning discriminative hash codes with weak bag-level supervision suited for la…
Cross-Modal Manifold Learning for Cross-modal Retrieval
Sailesh Conjeti, Anees Kazi, Nassir Navab +1
This paper presents a new scalable algorithm for cross-modal similarity preserving retrieval in a learnt manifold space. Unlike existing approaches that compromise between preservi…
Deep Residual Hashing
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian +1
Hashing aims at generating highly compact similarity preserving code words which are well suited for large-scale image retrieval tasks. Most existing hashing methods first encode t…