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90  <h1 id="publications">Publications</h1>
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94<!-- (For a full list see [below](#full-list) or go to [Google Scholar](https://scholar.google.ch/citations?user=TqxYWZsAAAAJ), [ResearcherID](https://www.researcherid.com/rid/D-7763-2012)) -->
95
96<div class="row">
97
98  <div class="col-sm-6 clearfix">
99    <div class="well">
100      <pubtit>Artificial intelligence-based analytics for diagnosis of small bowel enteropathies and black box feature detection.</pubtit>
101      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
102      <p></p>
103      <p><em>Syed, S., Ehsan, L., Shrivastava, A., Sengupta, S., Khan, M., Kowsari, K., Guleria, S., Sali, R., Kant, K., Kang, S.J., Sadiq, K., Iqbal, N., Cheng, L., Moskaluk, C., Kelly, P., Amadi, B., Syed, A., Moore, S., Brown, D.</em></p>
104      <p><strong><a href="https://journals.lww.com/jpgn/Abstract/2021/06000/Artificial_Intelligence_based_Analytics_for.11.aspx">Journal of Pediatric Gastroenterology and Nutrition 72, no. 6 (2021) 833-841.</a></strong></p>
105      <p class="text-danger"><strong> </strong></p>
106      <p> </p>
107    </div>
108  </div>
109
110  <div class="col-sm-6 clearfix">
111    <div class="well">
112      <pubtit>Deep Learning for Whole-Slide Tissue Histopathology Classification - A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett’s Esophagus.</pubtit>
113      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
114      <p></p>
115      <p><em>Sali, R., Moradinasab, N., Guleria, S., Ehsan, L., Fernandes, P., Shah, T.U., Syed, S. and Brown, D.E.,</em></p>
116      <p><strong><a href="https://www.mdpi.com/2075-4426/10/4/141">Journal of Personalized Medicine 10, no. 4 (2020) 141.</a></strong></p>
117      <p class="text-danger"><strong> </strong></p>
118      <p> </p>
119    </div>
120  </div>
121
122</div>
123
124<div class="row">
125
126  <div class="col-sm-6 clearfix">
127    <div class="well">
128      <pubtit>Deep learning methods for anatomical landmark detection in video capsule endoscopy images.</pubtit>
129      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
130      <p></p>
131      <p><em>Adewole, S., Yeghyayan, M., Hyatt, D., Ehsan, L., Jablonski, J., Copland, A., Syed, S. and Brown, D.,</em></p>
132      <p><strong><a href="https://www.researchgate.net/publication/342571247_Deep_Learning_Methods_for_Anatomical_Landmark_Detection_in_Video_Capsule_Endoscopy_Images">Proceedings of the Future Technologies Conference, pp. 426-434. Springer, Cham, 2020.</a></strong></p>
133      <p class="text-danger"><strong> </strong></p>
134      <p> </p>
135    </div>
136  </div>
137
138  <div class="col-sm-6 clearfix">
139    <div class="well">
140      <pubtit>CoMixMatch - Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images</pubtit>
141      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
142      <p></p>
143      <p><em>Pulido, J.V., Syed, S. and Brown, D.E.,</em></p>
144      <p><strong><a href="https://www.researchgate.net/publication/349389822_CoMixMatch_Semi-supervised_Detection_of_Pancreatic_Cancer_on_Noisy_Gigapixel_Histology_Images">2021 BIOIMAGING.</a></strong></p>
145      <p class="text-danger"><strong> </strong></p>
146      <p> </p>
147    </div>
148  </div>
149
150</div>
151
152<div class="row">
153
154  <div class="col-sm-6 clearfix">
155    <div class="well">
156      <pubtit>Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision.</pubtit>
157      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
158      <p></p>
159      <p><em>William Adorno, I.I.I., Catalano, A., Ehsan, L., von Eckstaedt, H.V., Barnes, B., McGowan, E., Syed, S. and Brown, D.E.,</em></p>
160      <p><strong><a href="https://arxiv.org/abs/2101.05326">2021 BIOIMAGING. (Best Paper Award)</a></strong></p>
161      <p class="text-danger"><strong> </strong></p>
162      <p> </p>
163    </div>
164  </div>
165
166  <div class="col-sm-6 clearfix">
167    <div class="well">
168      <pubtit>HistoTransfer - Understanding Transfer Learning for Histopathology.</pubtit>
169      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
170      <p></p>
171      <p><em>Sharma, Y., Ehsan, L., Syed, S. and Brown, D.E.</em></p>
172      <p><strong><a href="https://arxiv.org/abs/2106.07068">2021 IEEE International Conference on Biomedical and Health Informatics (BHI-21). (Best Paper Award)</a></strong></p>
173      <p class="text-danger"><strong> </strong></p>
174      <p> </p>
175    </div>
176  </div>
177
178</div>
179
180<div class="row">
181
182  <div class="col-sm-6 clearfix">
183    <div class="well">
184      <pubtit>Cluster-to-Conquer - A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification</pubtit>
185      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
186      <p></p>
187      <p><em>Sharma, Y., Shrivastava, A., Ehsan, L., Moskaluk, C.A., Syed, S. and Brown, D.E.</em></p>
188      <p><strong><a href="https://arxiv.org/abs/2103.10626">2021 MIDL.</a></strong></p>
189      <p class="text-danger"><strong> </strong></p>
190      <p> </p>
191    </div>
192  </div>
193
194  <div class="col-sm-6 clearfix">
195    <div class="well">
196      <pubtit>Semi-Supervised Classification of Noisy, Gigapixel Histology Images.</pubtit>
197      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
198      <p></p>
199      <p><em>Pulido, J.V., Guleria, S., Ehsan, L., Fasullo, M., Lippman, R., Mutha, P., Shah, T., Syed, S. and Brown, D.E.</em></p>
200      <p><strong><a href="https://ieeexplore.ieee.org/document/9287980">2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 563-568. IEEE.</a></strong></p>
201      <p class="text-danger"><strong> </strong></p>
202      <p> </p>
203    </div>
204  </div>
205
206</div>
207
208<div class="row">
209
210  <div class="col-sm-6 clearfix">
211    <div class="well">
212      <pubtit>Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos.</pubtit>
213      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
214      <p></p>
215      <p><em>Pulido, J.V., Guleriai, S., Ehsan, L., Shah, T., Syed, S. and Brown, D.E.</em></p>
216      <p><strong><a href="https://ieeexplore.ieee.org/document/9098630">2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1659-1663). IEEE.</a></strong></p>
217      <p class="text-danger"><strong> </strong></p>
218      <p> </p>
219    </div>
220  </div>
221
222  <div class="col-sm-6 clearfix">
223    <div class="well">
224      <pubtit>Hierarchical deep convolutional neural networks for multi-category diagnosis of gastrointestinal disorders on histopathological images.</pubtit>
225      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
226      <p></p>
227      <p><em>Sali, R., Adewole, S., Ehsan, L., Denson, L.A., Kelly, P., Amadi, B.C., Holtz, L., Ali, S.A., Moore, S.R., Syed, S. and Brown, D.E.</em></p>
228      <p><strong><a href="https://arxiv.org/abs/2005.03868">2020 IEEE International Conference on Healthcare Informatics (ICHI), pp. 1-6. IEEE.</a></strong></p>
229      <p class="text-danger"><strong> </strong></p>
230      <p> </p>
231    </div>
232  </div>
233
234</div>
235
236<div class="row">
237
238  <div class="col-sm-6 clearfix">
239    <div class="well">
240      <pubtit>HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach</pubtit>
241      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
242      <p></p>
243      <p><em>Kowsari, K., Sali, R., Ehsan, L., Adorno, W., Ali, A., Moore, S., Amadi, B., Kelly, P., Syed, S. and Brown, D.E.</em></p>
244      <p><strong><a href="https://arxiv.org/abs/2006.07187">
244Information 11, no. 6 (2020) 318.</a></strong></p>
245      <p class="text-danger"><strong> </strong></p>
246      <p> </p>
247    </div>
248  </div>
249
250  <div class="col-sm-6 clearfix">
251    <div class="well">
252      <pubtit>Self-Attentive Adversarial Stain Normalization</pubtit>
253      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
254      <p></p>
255      <p><em>Shrivastava, A., Adorno, W., Sharma, Y., Ehsan, L., Ali, S.A., Moore, S.R., Amadi, B., Kelly, P., Syed, S. and Brown, D.E.</em></p>
256      <p><strong><a href="https://arxiv.org/abs/1909.01963">International Conference on Pattern Recognition, pp. 120-140. Springer, Cham, 2021.</a></strong></p>
257      <p class="text-danger"><strong> </strong></p>
258      <p> </p>
259    </div>
260  </div>
261
262</div>
263
264<div class="row">
265
266  <div class="col-sm-6 clearfix">
267    <div class="well">
268      <pubtit>Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease</pubtit>
269      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
270      <p></p>
271      <p><em>Shrivastava, A., Kant, K., Sengupta, S., Kang, S.J., Khan, M., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Brown, D.E. and Syed, S.</em></p>
272      <p><strong><a href="https://ieeexplore.ieee.org/abstract/document/8834458">2019 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI) (pp. 1-4). IEEE.</a></strong></p>
273      <p class="text-danger"><strong> </strong></p>
274      <p> </p>
275    </div>
276  </div>
277
278  <div class="col-sm-6 clearfix">
279    <div class="well">
280      <pubtit>Artificial intelligence applied to gastrointestinal diagnostics: a review</pubtit>
281      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
282      <p></p>
283      <p><em>Patel, V., Khan, M.N., Shrivastava, A., Sadiq, K., Ali, S.A., Moore, S.R., Brown, D.E. and Syed, S.</em></p>
284      <p><strong><a href="https://journals.lww.com/jpgn/Abstract/2020/01000/Artificial_Intelligence_Applied_to.4.aspx">Journal of pediatric gastroenterology and nutrition, 70(1), pp.4-11.</a></strong></p>
285      <p class="text-danger"><strong> </strong></p>
286      <p> </p>
287    </div>
288  </div>
289
290</div>
291
292<div class="row">
293
294  <div class="col-sm-6 clearfix">
295    <div class="well">
296      <pubtit>Assessment of machine learning detection of environmental enteropathy and celiac disease in children</pubtit>
297      <p><img src="/images/pubs/pub1.png" class="img-responsive" width="33%" style="float: left" /></p>
298      <p></p>
299      <p><em>Syed, S., Al-Boni, M., Khan, M.N., Sadiq, K., Iqbal, N.T., Moskaluk, C.A., Kelly, P., Amadi, B., Ali, S.A., Moore, S.R. and Brown, D.E.</em></p>
300      <p><strong><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2735765">JAMA network open, 2(6), pp.e195822-e195822.</a></strong></p>
301      <p class="text-danger"><strong> </strong></p>
302      <p> </p>
303    </div>
304  </div>
305
306  <div class="col-sm-6 clearfix">
307    <div class="well">
308      <pubtit>CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks</pubtit>
309      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
310      <p></p>
311      <p><em>Sali, R., Ehsan, L., Kowsari, K., Khan, M., Moskaluk, C.A., Syed, S. and Brown, D.E.</em></p>
312      <p><strong><a href="https://arxiv.org/abs/1910.03084">arXiv preprint arXiv:1910.03084.</a></strong></p>
313      <p class="text-danger"><strong> </strong></p>
314      <p> </p>
315    </div>
316  </div>
317
318</div>
319
320<div class="row">
321
322  <div class="col-sm-6 clearfix">
323    <div class="well">
324      <pubtit>Diagnosis of celiac disease and environmental enteropathy on biopsy images using color balancing on convolutional neural networks</pubtit>
325      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
326      <p></p>
327      <p><em>Kowsari, K., Sali, R., Khan, M.N., Adorno, W., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Syed, S. and Brown, D.E.</em></p>
328      <p><strong><a href="https://link.springer.com/chapter/10.1007/978-3-030-32520-6_55">Proceedings of the Future Technologies Conference (pp. 750-765). Springer, Cham.</a></strong></p>
329      <p class="text-danger"><strong> </strong></p>
330      <p> </p>
331    </div>
332  </div>
333
334  <div class="col-sm-6 clearfix">
335    <div class="well">
336      <pubtit>Mo1992–Solving the Stain Dilemma: Computational Image Analysis to Address Differential Tissue Staining Color Bias in Duodenal Biopsies</pubtit>
337      <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p>
338      <p></p>
339      <p><em>Sana Syed, Aman Shrivastava, Karan Kant, Saurav Sengupta, Luke Kang, Marium N Khan, Najeeha T Iqbal, Kamran Sadiq, Christopher A Moskaluk, Beatrice Amadi, Paul Kelly, Asad Ali, Sean Moore, Donald Brown</em></p>
340      <p><strong><a href="https://www.gastrojournal.org/article/S0016-5085(19)39255-8/abstract">Gastronenterology</a></strong></p>
341      <p class="text-danger"><strong> </strong></p>
342      <p> </p>
343    </div>
344  </div>
345
346</div>
347
348<div class="row">
349
350  <div class="col-sm-6 clearfix">
351    <div class="well">
352      <pubtit>Deep Learning for Detecting Diseases in Gastrointestinal Biopsy Images</pubtit>
353      <p>
353<img src="/images/pubs/pub3.gif" class="img-responsive" width="33%" style="float: left" /></p>
354      <p></p>
355      <p><em>Aman Srivastava, Saurav Sengupta, Sung-Jun Kang, Karan Kant, Marium Khan, S Asad Ali, Sean R Moore, Beatrice C Amadi, Paul Kelly, Sana Syed, Donald E Brown</em></p>
356      <p><strong><a href="https://ieeexplore.ieee.org/abstract/document/8735619">IEEE Xplore</a></strong></p>
357      <p class="text-danger"><strong> </strong></p>
358      <p> </p>
359    </div>
360  </div>
361
362</div>
363
364<p>   </p>
365
366<h2 id="full-list">Full List</h2>
367
368<p>Artificial intelligence-based analytics for diagnosis of small bowel enteropathies and black box feature detection. <br />
369  <em>Syed, S., Ehsan, L., Shrivastava, A., Sengupta, S., Khan, M., Kowsari, K., Guleria, S., Sali, R., Kant, K., Kang, S.J., Sadiq, K., Iqbal, N., Cheng, L., Moskaluk, C., Kelly, P., Amadi, B., Syed, A., Moore, S., Brown, D. </em><br /><a href="https://journals.lww.com/jpgn/Abstract/2021/06000/Artificial_Intelligence_based_Analytics_for.11.aspx">Journal of Pediatric Gastroenterology and Nutrition 72, no. 6 (2021) 833-841.</a></p>
370
371<p>Deep Learning for Whole-Slide Tissue Histopathology Classification - A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett’s Esophagus. <br />
372  <em>Sali, R., Moradinasab, N., Guleria, S., Ehsan, L., Fernandes, P., Shah, T.U., Syed, S. and Brown, D.E., </em><br /><a href="https://www.mdpi.com/2075-4426/10/4/141">Journal of Personalized Medicine 10, no. 4 (2020) 141.</a></p>
373
374<p>Deep learning methods for anatomical landmark detection in video capsule endoscopy images. <br />
375  <em>Adewole, S., Yeghyayan, M., Hyatt, D., Ehsan, L., Jablonski, J., Copland, A., Syed, S. and Brown, D., </em><br /><a href="https://www.researchgate.net/publication/342571247_Deep_Learning_Methods_for_Anatomical_Landmark_Detection_in_Video_Capsule_Endoscopy_Images">Proceedings of the Future Technologies Conference, pp. 426-434. Springer, Cham, 2020.</a></p>
376
377<p>CoMixMatch - Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images <br />
378  <em>Pulido, J.V., Syed, S. and Brown, D.E., </em><br /><a href="https://www.researchgate.net/publication/349389822_CoMixMatch_Semi-supervised_Detection_of_Pancreatic_Cancer_on_Noisy_Gigapixel_Histology_Images">2021 BIOIMAGING.</a></p>
379
380<p>Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. <br />
381  <em>William Adorno, I.I.I., Catalano, A., Ehsan, L., von Eckstaedt, H.V., Barnes, B., McGowan, E., Syed, S. and Brown, D.E., </em><br /><a href="https://arxiv.org/abs/2101.05326">2021 BIOIMAGING. (Best Paper Award)</a></p>
382
383<p>HistoTransfer - Understanding Transfer Learning for Histopathology. <br />
384  <em>Sharma, Y., Ehsan, L., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2106.07068">2021 IEEE International Conference on Biomedical and Health Informatics (BHI-21). (Best Paper Award)</a></p>
385
386<p>Cluster-to-Conquer - A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification <br />
387  <em>Sharma, Y., Shrivastava, A., Ehsan, L., Moskaluk, C.A., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2103.10626">2021 MIDL.</a></p>
388
389<p>Semi-Supervised Classification of Noisy, Gigapixel Histology Images. <br />
390  <em>Pulido, J.V., Guleria, S., Ehsan, L., Fasullo, M., Lippman, R., Mutha, P., Shah, T., Syed, S. and Brown, D.E. </em><br /><a href="https://ieeexplore.ieee.org/document/9287980">2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 563-568. IEEE.</a></p>
391
392<p>Screening for Barrett’s Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos. <br />
393  <em>Pulido, J.V., Guleriai, S., Ehsan, L., Shah, T., Syed, S. and Brown, D.E. </em><br /><a href="https://ieeexplore.ieee.org/document/9098630">2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1659-1663). IEEE.</a></p>
394
395<p>Hierarchical deep convolutional neural networks for multi-category diagnosis of gastrointestinal disorders on histopathological images. <br />
396  <em>Sali, R., Adewole, S., Ehsan, L., Denson, L.A., Kelly, P., Amadi, B.C., Holtz, L., Ali, S.A., Moore, S.R., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2005.03868">2020 IEEE International Conference on Healthcare Informatics (ICHI), pp. 1-6. IEEE.</a></p>
397
398<p>HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach <br />
399  <em>Kowsari, K., Sali, R., Ehsan, L., Adorno, W., Ali, A., Moore, S., Amadi, B., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2006.07187">
399Information 11, no. 6 (2020) 318.</a></p>
400
401<p>Self-Attentive Adversarial Stain Normalization <br />
402  <em>Shrivastava, A., Adorno, W., Sharma, Y., Ehsan, L., Ali, S.A., Moore, S.R., Amadi, B., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/1909.01963">International Conference on Pattern Recognition, pp. 120-140. Springer, Cham, 2021.</a></p>
403
404<p>Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease <br />
405  <em>Shrivastava, A., Kant, K., Sengupta, S., Kang, S.J., Khan, M., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Brown, D.E. and Syed, S. </em><br /><a href="https://ieeexplore.ieee.org/abstract/document/8834458">2019 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI) (pp. 1-4). IEEE.</a></p>
406
407<p>Artificial intelligence applied to gastrointestinal diagnostics: a review <br />
408  <em>Patel, V., Khan, M.N., Shrivastava, A., Sadiq, K., Ali, S.A., Moore, S.R., Brown, D.E. and Syed, S. </em><br /><a href="https://journals.lww.com/jpgn/Abstract/2020/01000/Artificial_Intelligence_Applied_to.4.aspx">Journal of pediatric gastroenterology and nutrition, 70(1), pp.4-11.</a></p>
409
410<p>Assessment of machine learning detection of environmental enteropathy and celiac disease in children <br />
411  <em>Syed, S., Al-Boni, M., Khan, M.N., Sadiq, K., Iqbal, N.T., Moskaluk, C.A., Kelly, P., Amadi, B., Ali, S.A., Moore, S.R. and Brown, D.E. </em><br /><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2735765">JAMA network open, 2(6), pp.e195822-e195822.</a></p>
412
413<p>CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks <br />
414  <em>Sali, R., Ehsan, L., Kowsari, K., Khan, M., Moskaluk, C.A., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/1910.03084">arXiv preprint arXiv:1910.03084.</a></p>
415
416<p>Diagnosis of celiac disease and environmental enteropathy on biopsy images using color balancing on convolutional neural networks <br />
417  <em>Kowsari, K., Sali, R., Khan, M.N., Adorno, W., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://link.springer.com/chapter/10.1007/978-3-030-32520-6_55">Proceedings of the Future Technologies Conference (pp. 750-765). Springer, Cham.</a></p>
418
419<p>Mo1992–Solving the Stain Dilemma: Computational Image Analysis to Address Differential Tissue Staining Color Bias in Duodenal Biopsies <br />
420  <em>Sana Syed, Aman Shrivastava, Karan Kant, Saurav Sengupta, Luke Kang, Marium N Khan, Najeeha T Iqbal, Kamran Sadiq, Christopher A Moskaluk, Beatrice Amadi, Paul Kelly, Asad Ali, Sean Moore, Donald Brown </em><br /><a href="https://www.gastrojournal.org/article/S0016-5085(19)39255-8/abstract">Gastronenterology</a></p>
421
422<p>Deep Learning for Detecting Diseases in Gastrointestinal Biopsy Images <br />
423  <em>Aman Srivastava, Saurav Sengupta, Sung-Jun Kang, Karan Kant, Marium Khan, S Asad Ali, Sean R Moore, Beatrice C Amadi, Paul Kelly, Sana Syed, Donald E Brown </em><br /><a href="https://ieeexplore.ieee.org/abstract/document/8735619">IEEE Xplore</a></p>
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