Output regulation for class of a nonlinear system with nonlinear exosystems utilizing servomechanism. - Bilal M. Yousuf; Maham Ghauri; Neel Kanwal (INTELLECT, 2017)

DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities. - Jiahui Geng; Neel Kanwal; Martin Gilje Jaatun; Chunming Rong (EASE, 2021)

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images. - Saul Fuster; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Eftestøl; Tahlita C. M. Zuiverloon; Emiel A. M. Janssen; Kjersti Engan (IVMSP, 2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. - Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (IVMSP, 2022)

Attention-based clinical note summarization. - Neel Kanwal; Giuseppe Rizzo 002 (SAC, 2022)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. - Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt 005; Kjersti Engan; Rafael Molina 001 (IEEE Access, 2022)

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images. - Neel Kanwal; Roger Amundsen; Helga Hardardottir; Luca Tomasetti; Erling Sandøy Undersrud; Emiel A. M. Janssen; Kjersti Engan (EUSIPCO, 2023)

Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao (ICDH, 2023)

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation. - Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan (PAKDD (3), 2023)

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education. - Neel Kanwal; Emiel A. M. Janssen; Kjersti Engan (CoRR, 2023)

Enhancing Prostate Cancer Diagnosis with Deep Learning: A Study using mpMRI Segmentation and Classification. - Anil B. Gavade; Neel Kanwal; Priyanka A. Gavade; Rajendra Nerli (CoRR, 2023)

Automated Diagnosis of Prostate Cancer Using mpMRI Images: A Deep Learning Approach for Clinical Decision Support. - Anil B. Gavade; Rajendra Nerli; Neel Kanwal; Priyanka A. Gavade; Shridhar Sunilkumar Pol; Syed Tahir Hussain Rizvi (Comput., 2023)

Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition. - Tasweer Ahmad; Syed Tahir Hussain Rizvi; Neel Kanwal (J. Vis. Commun. Image Represent., 2023)

PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (Euro-Par (1), 2024)

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics. - Marie Bø-Sande; Edvin Benjaminsen; Neel Kanwal; Saul Fuster; Helga Hardardottir; Ingrid Lundal; Emilius A. M. Janssen; Kjersti Engan (NLDL, 2024)

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. - Neel Kanwal; Miguel López-Pérez; Umay Kiraz; Tahlita C. M. Zuiverloon; Rafael Molina 001; Kjersti Engan (Comput. Medical Imaging Graph., 2024)

Towards Privacy-, Budget-, and Deadline-Aware Service Optimization for Large Medical Image Processing across Hybrid Clouds. - Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Paola Grosso; Zhiming Zhao (CoRR, 2024)

Equipping computational pathology systems with artifact processing pipelines: a showcase for computation and performance trade-offs. - Neel Kanwal; Farbod Khoraminia; Umay Kiraz; Andrés Mosquera-Zamudio; Carlos Monteagudo; Emiel A. M. Janssen; Tahlita C. M. Zuiverloon; Chunming Rong; Kjersti Engan (BMC Medical Informatics Decis. Mak., 2024)

Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction. - Syed Tahir Hussain Rizvi; Neel Kanwal; Muddasar Naeem; Alfredo Cuzzocrea; Antonio Coronato (CoRR, 2025)