Saad Ullah Akram

According to our database, Saad Ullah Akram authored at least 12 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MLOps for Medical Imaging: A Cloud-Edge architecture for Experiment Tracking and Model Evaluation.

Saim, Saad Ullah Akram, Erkki Harjula, Lauri Lovén, Hassan Mehmood

Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

2022

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond.

Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao

CoRR, 2022

2021

Bridging the Gap Between Paired and Unpaired Medical Image Translation.

Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Generalizable Pedestrian Detection: The Elephant in the Room.

Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Pedestrian Detection: The Elephant In The Room.

Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao

CoRR, 2020

2019

Mask-RCNN and U-Net Ensembled for Nuclei Segmentation.

Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.

Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017

Cell Tracking via Proposal Generation and Selection.

Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä

CoRR, 2017

2016

Cell Segmentation Proposal Network for Microscopy Image Analysis.

Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Joint cell segmentation and tracking using cell proposals.

Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Cell proposal network for microscopy image analysis.

Saad Ullah Akram, Juho Kannala, Lauri Eklund, Janne Heikkilä

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014

Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach.

Saad Ullah Akram, Juho Kannala, Mika Kaakinen, Lauri Eklund, Janne Heikkilä

Proceedings of the Computer Vision - ACCV 2014, 2014