Khoo, R., & Jansen, S. (2016). The Evolving Field of Wound Measurement Techniques: A Literature Review. Wounds : a compendium of clinical research and practice, 28(6), 175–181.

Prabowo, D. A., Abdullah, D., & Manik, A. (2018). Deteksi dan Perhitungan Objek Berdasarkan Warna Menggunakan Color Object Tracking. Jurnal Pseudocode, 85-91.

Zlocha, M., Dou, Q., & Glocker, B. (2019). Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels. International Conference on Medical Image Computing and Computer-Assisted Intervention.

Clarke E, Burns J, Bruen C, Crehan M, Smyth E, Pawlikowska T. The 'connectaholic' behind the curtain: Medical studentuse of computer devices in the clinical setting and the influence of patients. BMC Medical Education. 2019; 19(1):376.

Wiraagni, I. A., Gizela, B. A., Firdaus, Auvaq, A. B., Noormaningrum, B. R., Busyra, Wiradinata, W., & Majid, N., (2023). Forensica Application as Learning Media on Forensic Medicine- Time of Death Estimation. International Journal of Medical Toxicology and Forensic Medicine, 13(2). https://doi.org/10.32598/ijmtfm.v13i2.40171.

Radovic, M., Adarkwa, O., & Wang, Q. (2017). Object Recognition in Aerial Images Using Convolutional Neural Networks. Journal of Imaging, 3(2), 21.doi:10.3390/jimaging3020021.

Felten, E. W., Raj, M., and Seamans, R., (2018). “A method to link advances in Artificial Intelligence to occupational abilities,” AEA Pap. Proc., vol. 108, pp. 54–57, 2018, doi: 10.1257/PANDP.20181021.

Redmon, J., Divvala, S., Girshick, R., and Farhadi, A., (2016). “You only look once: Unified, real-time object detection,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 779–788, doi: 10.1109/CVPR.2016.91.

Hutauruk, J. W. S., Matulatan, T., and Hayaty, N., (2020). “Deteksi kendaraan secara real time menggunakan metode YOLO berbasis Android,” J. Sustain. J. Has. Penelit. dan Ind. Terap., vol. 9, no. 1, pp. 8–14, doi: 10.31629/SUSTAINABLE.V9I1.1401.

DiMaio VJ, DiMaio D. Time of death. In: DiMaio VJ, DiMaio D, editors. Forensic pathology. London: CRC Press; 2001. [Link]

Sathishkumar, V. & .Radha, Dr & .Saravanakumar, Dr & Mahalakshmi, K.. (2020). E-Learning during Lockdown of Covid-19 Pandemic: A Global Perspective. International Journal of Control and Automation. 13. 1088-1099.

Bahasoan , A. N., Wulan Ayuandiani, Muhammad Mukhram, & Aswar Rahmat. (2020). Effectiveness of Online Learning In Pandemic Covid-19. International Journal of Science, Technology & Management, 1(2), 100-106. https://doi.org/10.46729/ijstm.v1i2.30.

Brammer, S. and Clark, T. (2020), COVID-19 and Management Education: Reflections on Challenges, Opportunities, and Potential Futures. Brit J Manage, 31: 453-456. https://doi.org/10.1111/1467-8551.12425.

Yuan SLK, Couto LA, Marques AP. Effects of a six-week mobile app versus paper book intervention on quality of life, symptoms, and self-care in patients with fibromyalgia: A randomized parallel trial. Brazilian Journal of Physical Therapy. 2021; 25(4):428-36. [DOI:10.1016/j.bjpt.2020.10.003] [PMID] [PMCID]

Chase T JG, Julius A, Chandan JS, Powell E, Hall CS, Phillips BL, et al. Mobile learning in medicine: an evaluation of attitudes and behaviours of medical students. BMC Medical Education 2018; 18(1):152. [DOI:10.1186/s12909-018-1264-5] [PMID] [PMCID]