A novel approach for pain intensity detection based on facial feature deformations. - Neeru Rathee; Dinesh Ganotra (J. Vis. Commun. Image Represent., 2015)

Multiview Distance Metric Learning on facial feature descriptors for automatic pain intensity detection. - Neeru Rathee; Dinesh Ganotra (Comput. Vis. Image Underst., 2016)

Discriminative analysis of lip features for emotion recognition. - Neeru Rathee; Dinesh Ganotra (Int. J. Comput. Vis. Robotics, 2017)

An efficient approach for facial action unit intensity detection using distance metric learning based on cosine similarity. - Neeru Rathee; Dinesh Ganotra (Signal Image Video Process., 2018)

Pain detection from facial expressions using domain adaptation technique. - Neeru Rathee; Sudesh Pahal; Poonam Sheoran (Pattern Anal. Appl., 2022)

Deep Learning Techniques for Pancreatic Cancer Analysis: A Systematic Review and Implantation Prerequisites. - Jasmine Chhikara; Nidhi Goel; Neeru Rathee (ICMLDE, 2023)

Modified multidimensional scaling on EEG signals for emotion classification. - Garima; Nidhi Goel; Neeru Rathee (Multim. Tools Appl., 2023)

Novel fractal pattern based features for EEG-based emotion identification. - Garima; Nidhi Goel; Neeru Rathee (Biomed. Signal Process. Control., 2024)

Efficient fused convolution neural network (EFCNN) for feature level fusion of medical images. - Mamta Rani; Jyoti Yadav; Neeru Rathee; Sonal Goyal (Multim. Tools Appl., 2024)

Optifusion: advancing visual intelligence in medical imaging through optimized CNN-TQWT fusion. - Mamta Rani; Jyoti Yadav; Neeru Rathee; Bharti Panjwani (Vis. Comput., 2024)

Combating false negatives in pancreatic cancer: A deep learning approach for aiding fine needle aspiration via accurate subregion identification. - Jasmine Chhikara; Nidhi Goel; Neeru Rathee (Eng. Appl. Artif. Intell., 2025)

Integrating expert guidance with gradual moment approximation (GMAp)-enhanced transfer learning for improved pancreatic cancer classification. - Jasmine Chhikara; Nidhi Goel; Neeru Rathee (Neural Comput. Appl., 2025)