Junayed Naushad

Junayed Naushad

Doctoral Student

Student, St Anne's College

Wolfson Building, Parks Road, Oxford OX1 3QD

Interests

My DPhil is on applications of machine learning and computer vision to medical image analysis. I am interested in developing learning algorithms that can aid physicians in identifying and diagnosing diseases or anomalies in different imaging modalities. In order to develop robust and reliable learning algorithms, my research focuses on uncertainty estimation, representation learning, and domain adaptation.

Selected Publications

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• Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis

  Junayed Naushad and Irina Voiculescu

  In IEEE International Symposium on Biomedical Imaging (ISBI). May, 2024.

  Details about Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis | BibTeX data for Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis | Link to Super−TrustScore: Reliable Failure Detection for Automated Skin Lesion Diagnosis

Supervisor