Feature Learning for the Image Retrieval Task. - Aakanksha Rana; Joaquin Zepeda; Patrick Pérez (ACCV Workshops (3), 2014)

Graph-cut-based model for spectral-spatial classification of hyperspectral images. - Yuliya Tarabalka; Aakanksha Rana (IGARSS, 2014)

Evaluation of Feature Detection in HDR Based Imaging Under Changes in Illumination Conditions. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (ISM, 2015)

Optimizing tone mapping operators for keypoint detection under illumination changes. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (MMSP, 2016)

An evaluation of HDR image matching under extreme illumination changes. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (VCIP, 2016)

Learning-based tone mapping operator for image matching. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (ICIP, 2017)

Learning-based adaptive tone mapping for keypoint detection. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (ICME, 2017)

High Dynamic Range (HDR) image analysis. (Analyse d'images haute gamme dynamique). - Aakanksha Rana (2018)

DublinCity: Annotated LiDAR Point Cloud and its Applications. - S. M. Iman Zolanvari; Susana Ruano; Aakanksha Rana; Alan Cummins; Rogério Eduardo da Silva; Morteza Rahbar; Aljosa Smolic (BMVC, 2019)

Towards Generating Ambisonics Using Audio-visual Cue for Virtual Reality. - Aakanksha Rana; Cagri Ozcinar; Aljosa Smolic (ICASSP, 2019)

Aesthetic Image Captioning From Weakly-Labelled Photographs. - Koustav Ghosal; Aakanksha Rana; Aljosa Smolic (ICCV Workshops, 2019)

Colornet - Estimating Colorfulness in Natural Images. - Emin Zerman; Aakanksha Rana; Aljosa Smolic (ICIP, 2019)

Super-resolution of Omnidirectional Images Using Adversarial Learning. - Cagri Ozcinar; Aakanksha Rana; Aljosa Smolic (MMSP, 2019)

Learning-Based Tone Mapping Operator for Efficient Image Matching. - Aakanksha Rana; Giuseppe Valenzise; Frédéric Dufaux (IEEE Trans. Multim., 2019)

Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution. - Supratik Banerjee; Cagri Ozcinar; Aakanksha Rana; Aljosa Smolic; Michael Manzke (CoRR, 2020)

Deep Tone Mapping Operator for High Dynamic Range Images. - Aakanksha Rana; Praveer Singh; Giuseppe Valenzise; Frédéric Dufaux; Nikos Komodakis; Aljosa Smolic (IEEE Trans. Image Process., 2020)

Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views. - Cagri Ozcinar; Aakanksha Rana (IQSP, 2021)

FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval. - Alexander G. Yearley; Caroline M. W. Goedmakers; Armon Panahi; Joanne Doucette; Aakanksha Rana; Kavitha Ranganathan; Timothy R. Smith (Artif. Intell. Medicine, 2023)

Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. - Sharut Gupta; Ken Chang; Liangqiong Qu; Aakanksha Rana; Syed Rakin Ahmed; Mehak Aggarwal; Nishanth Thumbavanam Arun; Ashwin Vaswani; Shruti Raghavan; Vibha Agarwal; Mishka Gidwani; Katharina Hoebel; et al. (AIPAD/PILM@MICCAI, 2024)

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. - Lakshika Rathi; Giacomo Nebbia; Ken Chang; Sourav Kumar; Aarushi Gupta; Syed Rakin Ahmed; Jay B. Patel; Christopher Clark; Yoga Advaith Veturi; Aaron S. Coyner; Aakanksha Rana; Christopher P. Bridge; et al. (FAIMI/EPIMI@MICCAI, 2024)