Publications

We seek to make products, which would complement the knowledge and assist the clinician in making faster and accurate diagnosis.

Optic Cup to Disc Ratio Calculation using Deep Convolutional Network

The Deep Learning Computer model in reading Diabetic Retinopathy & Normal Images

The Deep Learning Model based Computer solution in reading Diabetic Retinopathy & Normal Images

WVNet augmented diagnosis - the potential of deep learning to assist radiologists for faster and accurate decision making

Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis

  • Mrinal Haloi, K. Raja Rajalakshmi, Pradeep Walia
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Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Rethinking Convolutional Semantic Segmentation Learning

Deep Learning: Generalization Requires Deep Compositional Feature Space Design

  • Pradeep K Walia, Raja Rajalakshmi, Mrinal Haloi, Mohammad Fazal Kamal
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Diabetic Retinopathy Screening using Deep Learning Technology

  • Pradeep K Walia, Raja Rajalakshmi, Mohammad Fazal Kamal
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The Deep Learning Computer model in reading Diabetic Retinopathy & Normal Images

  • Mrinal Haloi, Lalit Pant, Anurag Sahay, Pradeep Walia
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Towards Human Level Accurate Deep Learning System for Diabetic Reinopathy Screening

  • Dr.A.Nayak, M.Ghosh, P.Walia, Gh. Mustuffa, G.Somvanshi
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OCT image interpretation using Deep Learning and explainable AI

  • R.M. Anjana, S. Jebarani, C. Palmer, M. Siddiqui, M. Arun Vignesh, E. Pearson, V. Mohan, R. Pradeepa
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Diabetes Novel Subgroup Assesment (DIANA)- Advanced Machine Learning-Based tool to classify individuals with newly detected Type-2 Diabetes into specific subgroups and assess drug response.

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